Announcements
This section is dedicated to providing you with rigorous and refined academic literature recommendations.
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2026-03-14
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Deep learning approach and adaptive data augmentation technique for non-destructive quality recognition of exported saffron
2026-03-14 -
Integrated retrieval of water quality parameters using UAV hyperspectral images and satellite imagery: Leveraging deep learning and attention mechanisms for precision
2026-03-14 -
Advanced ECG Signal Analysis for Cardiovascular Disease Diagnosis Using AVOA Optimized Ensembled Deep Transfer Learning Approaches
2026-03-14 -
An interdisciplinary approach in teaching RNA secondary structure prediction to first-year undergraduate students using an automated deep learning RNA 3D model prediction tool
2026-03-14 -
A deep learning-based computer-aided diagnosis system for detecting atypical endometrial hyperplasia and endometrial cancer through hysteroscopy
2026-03-13 -
Deep learning estimation of state of health for lithium-ion batteries using multi-level fusion features of discharge curves
2026-03-13 -
Deep learning-based diabetic retinopathy recognition and grading: Challenges, gaps, and an improved approach — A survey
2026-03-13 -
Uncertainty-aware augmented generation (UAG): A novel deep learning method for enriching in-conversation user intent toward improved LLM generation
2026-03-13 -
Deeply flexible commercial building HVAC system control: A physics-aware deep learning-embedded MPC approach
2026-03-13 -
Mathematical algorithm design for deep learning under societal and judicial constraints: The algorithmic transparency requirement
2026-03-13 -
Transfer learning based hybrid feature learning framework for enhanced skin cancer diagnosis using deep feature integration
2026-03-13 -
To Compare the Application Value of Different Deep Learning Models Based on CT in Predicting Visceral Pleural Invasion of Non-small Cell Lung Cancer: A Retrospective, Multicenter Study
2026-03-13 -
Deep learning based aerosol particle classification for the detection of ship emissions
2026-03-13 -
A two-stage phase unwrapping method by deep learning on noisy wrapped phases
2026-03-13 -
Deep learning applications in motion management for radiotherapy
2026-03-12 -
Deep learning for predicting invasive recurrence of ductal carcinoma in situ: leveraging histopathology images and clinical features
2026-03-12 -
An efficient on-demand inverse design of terahertz metasurfaces via deep learning
2026-03-12 -
Boosted bagging: A hybrid ensemble deep learning framework for point cloud semantic segmentation of shield tunnel leakage
2026-03-12 -
Acoustic recognition of wood based on computer deep learning
2026-03-12 -
Interpretable Auto Window setting for deep-learning-based CT analysis
2026-03-12 -
Impact of super-resolution deep learning-based reconstruction for hippocampal MRI: A volunteer and phantom study
2026-03-12 -
A deep learning pipeline for accurate and automated restoration, segmentation, and quantification of dendritic spines
2026-03-12 -
Enhancing runoff simulation by combining superflex with deep learning methods in China's Qinghai Lake Basin, Northeast Tibetan Plateau
2026-03-12 -
A dual-stage deep learning framework for simultaneous fire and firearm detection in smart surveillance systems
2026-03-12 -
Interface damage identification of composite steel bridge decks based on AE and deep learning techniques
2026-03-12 -
Dynamic spectrum sharing in heterogeneous wireless networks using deep reinforcement learning
2026-03-11 -
Interpreting regional characteristics of heritage houses based on 3D digital landscape and point cloud deep learning – Take Tibetan houses in the northeastern region of Aba prefecture as an example
2026-03-11 -
Reduced-dose dual-energy CT with deep learning image reconstruction for detection and characterization of liver metastases
2026-03-11 -
DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings
2026-03-11 -
Ultrasonic detection and deep learning for high-precision concrete strength prediction
2026-03-11 -
Demand response-based multi-agent deep reinforcement learning control framework for heating systems
2026-03-11 -
Deep reinforcement learning for joint optimization of maintenance and spare parts ordering considering spare parts supply uncertainty
2026-03-11 -
FeatureX: An explainable feature selection for deep learning
2026-03-11 -
HybridVisionNet: An advanced hybrid deep learning framework for automated multi-class ocular disease diagnosis using fundus imaging
2026-03-11 -
Improving Breast Cancer Diagnosis in Ultrasound Images Using Deep Learning with Feature Fusion and Attention Mechanism
2026-03-11 -
Deep reinforcement learning for optimizing computation latency in wireless-powered Multi-Access Edge Computing systems: A partial offloading approach
2026-03-10 -
A self-supervised deep learning framework for seismic facies segmentation
2026-03-10 -
MoringaLeafNet: A multi-class leaf disease dataset for precision agriculture and deep learning research
2026-03-10 -
Vehicle occupancy estimation in Automated Guideway Transit via deep learning with Wi-Fi probe requests
2026-03-10 -
Volumetric Deep Learning-Based Precision Phenotyping of Gene-Edited Tomato for Vertical Farming
2026-03-10 -
Game theory-based electricity pricing and microgrids management using online deep reinforcement learning
2026-03-09 -
Generalized deep neural network for seismic site response prediction with transfer learning
2026-03-09 -
Deep learning-based nanoindentation for evaluating the mechanical properties of rock-forming minerals
2026-03-09 -
Deep mutual learning: incentives and trust through collaborative integration of artificial intelligence into sustainability science
2026-03-09 -
Applied intelligence with deep learning assisted automated sarcasm recognition in twitter data
2026-03-09 -
Adaptive bandwidth tuning via deep reinforcement learning for nonlinear temperature control of insulated wall
2026-03-08 -
Quantitative analysis based on image processing combined with machine learning and deep learning to determine the adulteration in nutmeg powder
2026-03-08 -
Identification of hateful amharic language memes on facebook using deep learning algorithms
2026-03-08 -
Dual-channel batch constrained deep Q-learning for sepsis treatment
2026-03-08 -
Two-stage identification of false data injection attacks in power systems via semi-supervised deep learning
2026-03-08 -
Multi-task deep learning for joint prediction of traffic emissions and travel delay
2026-03-07 -
Cache-assisted task offloading strategy based on multi-agent deep reinforcement learning
2026-03-07 -
Deep Learning-Based GPR interpretation of soil thickness in headwater hillslopes
2026-03-07 -
Data driven deep learning method for quantifying groundwater flux in deep fractured aquifers with the fractured rock passive flux meter
2026-03-07 -
Urban flood modeling and forecasting with deep neural operator and transfer learning
2026-03-07 -
Accelerating non-contrast MR angiography of the thoracic aorta using compressed SENSE with deep learning reconstruction
2026-03-07 -
Diagnosis of orange tree fruit and leaf diseases based on a new deep learning model using a graphical user interface
2026-03-07 -
An interpretable deep learning framework for predicting hospital readmissions from electronic health records
2026-03-07 -
Mapping soil carbon content in two contrasting pedoclimatic regions using a deep learning approach with remote sensing imagery and laboratory spectral datasets
2026-03-07 -
A multi-component heavy metal detection method using UV-Vis superimposed spectrum and deep learning
2026-03-07 -
Performance of machine and deep learning models for predicting delirium in adult ICU patients: A systematic review
2026-03-07 -
Accurate organ segmentation and phenotype extraction of tomato plants based on deep learning and clustering algorithm
2026-03-06 -
Deep reinforcement learning-based optimization for machining process: Cutting parameters dynamic optimization considering tool condition degradation
2026-03-06 -
On the use of deep learning for computer-generated holography
2026-03-06 -
Few-shot learning of initial coulombic efficiency using adaptive combination kernel deep Gaussian process regression
2026-03-06 -
Deep Learning-Based Motion-Compensated Reconstruction for Accelerating 4-Dimensional Magnetic Resonance Fingerprinting
2026-03-06 -
Experimental analysis and deep learning prediction of nanofluid thermophysical properties under time-varying conditions
2026-03-06 -
A landsat-based burned area atlas (2000–2023) for the Niassa Special Reserve, Mozambique using U-Net deep learning
2026-03-06 -
Advances in OCT resolution enhancement: Deep learning is playing an important role
2026-03-06 -
Deep learning for solar PV fault classification using RGB imaging and comparison of preprocessing techniques
2026-03-06 -
A Pattern-constrained deep learning model for urban canopy turbulence reconstruction from sparse sensor data
2026-03-06 -
High-accuracy quantitative segmentation of Sub-10 μm microplastics using hyperspectral deep learning
2026-03-05 -
A novel deep transfer learning method based on explainable feature extraction and domain reconstruction
2026-03-05 -
A hybrid deep learning-Bayesian optimization model for enhanced slope stability classification
2026-03-05 -
Deep reinforcement learning control as an innovative approach for urban drainage systems: review and prospects
2026-03-05 -
Development of fine-tuned deep learning models for physical classification of microplastics extracted from different environmental matrices
2026-03-05 -
Adaptive hierarchical energy management strategy for fuel cell hybrid engineering vehicles based on deep reinforcement learning
2026-03-05 -
The rise of deep learning: AI and engineering applications under the spotlight of the 2024 Nobel prize
2026-03-05 -
Deep learning analysis of urine-derived stem cell mitochondrial morphology as a non-invasive Alzheimer’s disease biomarker
2026-03-05 -
Data anomaly detection in photovoltaic power time-series via unsupervised deep learning with insufficient information
2026-03-05 -
A low-cost deep learning framework for thermal comfort prediction using Eulerian Video Magnification in smart buildings
2026-03-05 -
Optimization-based spectral end-to-end deep reinforcement learning for equity portfolio management
2026-03-05 -
Integrating artificial intelligence based hybrid deep learning prediction models to estimate exergy efficiency for realistic solar photovoltaic power plants: validation with ground measurements
2026-03-04 -
Transformer encoder layers optimization of single Beidou multi-frequency signal intelligent acquisition algorithm based on deep learning and its performance improvement in power positioning module
2026-03-04 -
Deep learning-based analysis of insect life stages using a repurposed dataset
2026-03-04 -
Deep learning tools to support deforestation monitoring in Ivory Coast using SAR and optical satellite imagery
2026-03-04 -
Hierarchical collaborative optimization of generalized shared energy storage system connected to distribution system: A master-slave game based on deep reinforcement learning approach
2026-03-04 -
A comprehensive review of object detection with traditional and deep learning methods
2026-03-04 -
Detection of microfibres in wastewater sludge with deep learning
2026-03-04 -
Deep reinforcement learning for optimal firebreak placement in forest fire prevention
2026-03-04 -
Deep learning-enhanced acoustic emission localization for damage evolution analysis in coal-concrete composite structures under cyclic loading
2026-03-04 -
Research on multi-time-scale flexible operation method of distribution network considering deep reinforcement learning
2026-03-04 -
Integrating RNA sequencing with deep learning–based metabolic toxicity prediction: A new perspective on screening prioritized liquid crystal monomers
2026-03-03 -
PhytoCluster: a generative deep learning model for clustering plant single-cell RNA-seq data
2026-03-03 -
Multimodal deep learning for enhanced breast cancer diagnosis on sonography
2026-03-03 -
Predicting radiation-induced hypothyroidism in nasopharyngeal carcinoma patients using a deep learning model
2026-03-03 -
Development and temporal validation of a deep learning model for automatic fetal biometry from ultrasound videos
2026-03-03 -
Drone-guard: A self-supervised deep learning framework for real-time spatiotemporal anomaly detection in UAV surveillance systems
2026-03-03 -
Deep sequential adaptive reinforcement learning for manufacturing process optimization
2026-03-03 -
Explainable deep learning unveils critical scenarios driving soil cadmium pollution in a coastal industrial city in China: A geospatial AI approach
2026-03-03 -
Deep learning-based colorimetric indicator on polylactic acid packaging for nondestructive monitoring of fresh-cut fruits and vegetables
2026-03-03 -
Enhanced EEG-based Alzheimer’s disease detection using synchrosqueezing transform and deep transfer learning
2026-03-03 -
Optimized edge-cloud task offloading for WBANs: A hierarchical deep-reinforcement-learning approach
2026-03-02 -
Deep Learning-Based Prediction of Microvascular Invasion and Survival Outcomes in Hepatocellular Carcinoma Using Dual-phase CT Imaging of Tumors and Lesser Omental Adipose: A Multicenter Study
2026-03-02 -
Solving multiscale dynamical systems by deep learning
2026-03-02 -
Automated multiple sclerosis lesion segmentation from 3D-FLAIR MRI using R2AUNet: A deep learning approach with recurrent residual and attention mechanisms
2026-03-02 -
A deep learning based iterative denoising algorithm for multiple frequency lines recovery
2026-03-02 -
Detecting cognitive impairment in diabetics based on retinal photos by a deep learning method
2026-03-02 -
Three-dimensional seepage analysis for the tunnel in nonhomogeneous porous media with physics-informed deep learning
2026-03-02 -
Design and optimization of human-machine interaction interface for the intelligent Internet of Things based on deep learning and spatial computing
2026-03-02 -
Unveiling the power of features: A comparative study of machine learning and deep learning for modulation recognition
2026-03-02 -
Interpretable AI for explaining and predicting battery state of health using PSO-enhanced deep learning models
2026-03-02 -
TransfusionNet: Framework for cervical cancer detection using deep learning with multi-level fusion
2026-03-01 -
Deep learning and UAV-Based image recognition for identification of medicinal plants in Gentiana Sect. Cruciata
2026-03-01 -
TBM tunneling performance fusion prediction based on multimodal decomposition and multi-deep learning
2026-03-01 -
Agricultural machinery scheduling under time window constraints using deep reinforcement learning
2026-03-01 -
Estimating crop leaf protein content using hyperspectral remote sensing and pretrained and LCC-assisted LPCNet deep learning model
2026-03-01 -
Real-time structural health monitoring of steel structures using acoustic emission signals and a KAN-LSTM deep learning framework
2026-03-01 -
Quantitative alpha spectra isotope identification based on deep learning method and Monte Carlo modeling
2026-03-01 -
Defect detection in photovoltaic modules based on image-to-image generation and deep learning
2026-03-01 -
Fatigue-resistant, self-healing and antibacterial poly(ionic liquid) gel multichannel sensors for underwater early warning and deep learning-assisted infant monitoring
2026-03-01 -
CIT: A combined approach of improving inference and training phases of deep learning for IoT applications
2026-03-01 -
ELDE-Net: Efficient Light-Weight Depth Estimation Network for Deep Reinforcement Learning-Based Mobile Robot Path Planning
2026-02-28 -
Jamming recognition method based on wavelet packet decomposition and improved deep learning
2026-02-28 -
Cross-unit soft fault diagnosis for VRF systems using deep transfer learning: a comparative study across multiple scenarios
2026-02-28 -
Fracture evolution behavior of deep coal with bedding planes: An in-situ μCT study based on deep learning
2026-02-28 -
Advances in deep learning-driven photo identification and meta analysis of cetaceans in large data repositories
2026-02-28 -
Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Predictions Using Weather Image Time Series
2026-02-28 -
nnDoseNet: Intuitive and flexible deep learning framework to train and evaluate radiotherapy dose prediction models
2026-02-28 -
Ensuring UAV safety: A deep learning-based fault-tolerant approach with control barrier functions
2026-02-28 -
pbn-STAC: Deep reinforcement learning-based framework for cellular reprogramming
2026-02-28 -
From limited data to reliable diagnosis: an interpretable deep learning framework for transformer fault analysis
2026-02-28 -
Joint pilot optimization and channel estimation using deep learning in massive MIMO systems
2026-02-28 -
DeepPerfusion: A comprehensible two-branched deep learning architecture for high-precision blood volume pulse extraction based on imaging photoplethysmography
2026-02-28 -
Multi-task deep learning utilizing VOCs detected by HS-GC-IMS for geographical origin tracing and adulteration detection of turmeric powder
2026-02-28 -
Deep learning based data anomaly detection considering data imbalance and extreme loadings
2026-02-28 -
Deep learning CAIPIRINHA-accelerated 3D MRI of the knee cartilage at 7 Tesla
2026-02-26 -
Deep Learning on Histologic Slides Accurately Predicts Consensus Molecular Subtypes and Spatial Heterogeneity in Colon Cancer
2026-02-26 -
End-to-end deep learning model with multi-channel and attention mechanisms for multi-class diagnosis in CT-T staging of advanced gastric cancer
2026-02-26 -
An Efficient Deep Learning-Based Hybrid Framework for Personality Trait Prediction through Behavioral Analysis
2026-02-26 -
Multi-dimensional crashworthiness performance prediction and constrained optimization of the HFC energy absorbing structures for railway vehicles driven by deep learning frameworks
2026-02-26 -
Modeling the number of tourist arrivals in the United States employing deep learning networks
2026-02-26 -
An adaptive multitask deep learning model for reliability analysis of vehicle-bridge stochastic vibration systems
2026-02-26 -
Flip-flop topology inspired forward deep neural network learning approach for modelling UWB antennas
2026-02-26 -
PE-RWP: A deep learning framework for polynomial feature extraction of rogue wave patterns and peregrine waves localization
2026-02-26 -
Precision forecasting for hybrid energy systems using five deep learning algorithms for meteorological parameter prediction
2026-02-26 -
A quantized network processor for mixed-precision deep learning models based on enhanced Microscaling format
2026-02-25 -
Explainable deep learning for spatiotemporal high-temperature evolution and predictive modeling in coal seam enhanced combustion
2026-02-25 -
Learning to hear: Predicting speed of sound in deep eutectic solvents via molecular signatures
2026-02-25 -
Edge-constraint based multi-scale contrastive learning for image deep clustering,
2026-02-25 -
GNN-based deep reinforcement learning for computation task scheduling in autonomous multi-robot systems
2026-02-25 -
A high-precision surrogate model for seismic vehicle-track-bridge system based on hybrid deep learning for nonlinear structural restoring forces
2026-02-25 -
Multi-scale trajectory reconstruction for freeway traffic via deep reinforcement learning under heterogeneous data
2026-02-25 -
Semi-Markov modeling of DRX in 5G NR-U for energy efficiency: A deep reinforcement learning approach
2026-02-25 -
Harnessing deep learning for fusion-based heavy metal contamination index prediction in groundwater
2026-02-25 -
An efficient dual-attention guided deep learning model with interpretability for identifying medicinal plants
2026-02-25 -
Deep learning-based super-resolution reconstruction model for cavitation images in cryogenic flow fields
2026-02-24 -
Adversarial environment design for crowd navigation based on deep reinforcement learning
2026-02-24 -
Comparative result analysis of cauliflower disease classification based on deep learning approach VGG16, inception v3, ResNet, and a custom CNN model
2026-02-24 -
Deploying deep reinforcement learning for low-level HVAC control in multi-zone buildings: A comparative study with ASHRAE G36 sequences
2026-02-24 -
Adaptive nonlinear integral-backstepping control for frequency stabilization in cyber-physical shipboard microgrids using double deep Q-learning
2026-02-24 -
Research on hybrid policy optimization method based on deep reinforcement learning for ship heading control and path following
2026-02-24 -
Empowering cardiovascular diagnostics with SET-MobileNet: A lightweight and accurate deep learning based classification approach
2026-02-24 -
Deep reinforcement learning-based schedule optimization for parallel precast production
2026-02-24 -
Underwater target pose Recognition: A deep learning approach based on sonar signals
2026-02-24 -
Effect of arc length on the deep learning prediction of monitor units in lung stereotactic ablative radiation therapy treatment
2026-02-24 -
Deep learning for automated 3D assessment of rotator cuff muscle atrophy and fat infiltration prior to total shoulder arthroplasty
2026-02-23 -
HY-Deepnet : A new Optimal Deep transfer learning empowered framework for an autonomous Alzheimer’s disease detection and diagnosis system
2026-02-23 -
Detection of prohibited drugs in aquatic products using surface-enhanced Raman spectroscopy combined with a CNN-DE-LSTM deep learning model
2026-02-23 -
Analyzing crash injury severities with deep learning and advanced statistical models: An assessment of methodological challenges
2026-02-23 -
A Deep Reinforcement Learning-Based Partitioning Method for Power System Parallel Restoration
2026-02-23 -
Deep learning-based thermomechanical fatigue life of nickel-based superalloys
2026-02-23 -
Geo-adaptive deep learning for regional-scale bathymetric modeling in optically and morphologically challenging waters: A case study of the Yellow River Estuary
2026-02-23 -
Integrating bi-dynamic strategy and multivariate deep learning algorithms to predict high-accuracy, long-term cropland soil organic matter
2026-02-23 -
Deep learning approaches for pathological image classification
2026-02-23 -
Robust Deep Learning Based Fruit Recognition System for Autonomous Harvesting System in Complex Cashew Orchards
2026-02-23 -
Deep learning using CT to identify high-risk patients for adjacent segment disease: Model development and validation in a multicenter study
2026-02-22 -
Deep learning for digital pathology: A critical overview of methodological framework
2026-02-22 -
Graph deep-learning method for integrated topological and parametric optimization of hybrid electric vehicle powertrain
2026-02-22 -
Predicting daily stock price directions with deep learning models
2026-02-22 -
Dynamic forecasting of exchange rate spillovers with TVP-VAR and deep learning models
2026-02-22 -
A deep learning-based method for deep soil salinity prediction: considering the driving mechanisms of salinity profiles
2026-02-22 -
Multi-View Deep Learning for Mandibular Landmark Localization
2026-02-22 -
BO-CNN: A deep learning framework with Bayesian hyperparameter tuning for nutrient stress classification in Piper nigrum
2026-02-22 -
Physical model-guided deep learning approach for explosion load prediction in three-dimensional typical street configurations
2026-02-22 -
Deep Learning–Based Segmentation of Coronary Arteries and Stenosis Detection in X-Ray Coronary Angiography
2026-02-22 -
Deep learning methods for 2D material electronic properties
2026-02-21 -
Deep Learning-Enhanced Human Sensing with Channel State Information: A Survey
2026-02-21 -
How to improve traffic safety at freeway bottleneck with connected and automated vehicles? A dynamic deceleration strategy based on deep reinforcement learning
2026-02-21 -
Prediction of hemoglobin levels and red blood cell parameters using deep learning on blood smear images
2026-02-21 -
Deep Learning in Medical Image Analysis: A Comprehensive Review of Algorithms, Trends, Applications, and Challenges
2026-02-21 -
Brain tumor detection, classification and segmentation by deep learning models from MRI images: Recent approaches, challenges and future directions
2026-02-20 -
When just-in-time learning meets deep learning: An industrial quality prediction practice on deep partial least squares model
2026-02-20 -
Deep learning to segment first-time and repeat travelers: Analyzing GPS data
2026-02-20 -
Understanding the relationship between rosemary odor and mental workload through deep learning
2026-02-20 -
Dynamic prediction of NOx generation concentration based on Kolmogorov–Arnold Network integrated deep learning method for a 660 MW coal-fired boiler
2026-02-20 -
Deep Learning-Based Prediction of Seepage Flow in Soil-Like Porous Media
2026-02-19 -
UniSplicer: a deep learning framework for accurate splice-site prediction and splice-altering mutation detection across diverse taxa
2026-02-19 -
A novel deep learning model based on internet of medical things for cell detection in biomedical image
2026-02-19 -
Denoising gravitational wave with deep learning in the time-frequency domain
2026-02-19 -
Multi-representational deep transfer learning for classifying hemorrhagic metastases and non-neoplastic intracranial hematomas in multi-modal brain MRI scans
2026-02-19 -
Deep learning approach-based prediction of transfer functions in structure-acoustic coupling models
2026-02-18 -
Spatial heterogeneity identification for rainfall-derived inflow and infiltration in urban sewer systems based on water level sensor networks: Insights from an interpretable deep learning method
2026-02-18 -
Explainable machine and deep learning framework for newborn health monitoring: A simulation-based approach
2026-02-18 -
A deep ensemble learning model for Chinese spelling check
2026-02-18 -
Large format battery SoC estimation: An ultrasonic sensing and deep transfer learning predictions for heterogeneity
2026-02-18 -
Comparative analysis of deep learning models for defect detection in additive manufacturing using thermal imaging
2026-02-15 -
A priority control list for LCMs in freshwater food chain by deep learning
2026-02-15 -
Deep learning-derived arterial input function for dynamic brain PET
2026-02-15 -
Deep Learning and Federated Learning in Human Activity Recognition with Sensor Data: A Comprehensive Review
2026-02-15 -
Improved guided-wave acoustic defect detection and localization in pipes under varying temperature conditions using deep learning
2026-02-15 -
Electromagnetic Torque Prediction and Modeling of a Doubly Fed Induction Generator for Wind Energy Conversion Systems Using Machine Learning and Deep Learning Algorithms
2026-02-14 -
Deep Learning Discriminates Thymic Epithelial Tumors Histological Subtypes Using Digital Pathology
2026-02-14 -
Active Learning-Enhanced Deep Ensemble Framework for Human Activity Recognition Using Spatio-Textural Features
2026-02-14 -
Deep learning-based regression of food quality attributes using near-infrared spectroscopy and hyperspectral imaging: A review
2026-02-14 -
Knowledge-informed deep learning to mitigate bias in joint air pollutant prediction
2026-02-14 -
Deep learning enables accurate diagnosis of acute cholecystitis and prediction of suppuration using noncontrast CT
2026-02-14 -
Experimental Study on The Effect of Multi-step Deep Reinforcement Learning in POMDPs
2026-02-14 -
Study on life prediction method for rail vehicle critical components based on deep learning models and track load spectra
2026-02-14 -
Associations between deep learning vs. surface learning styles with both AI competence and personal enhancement by AI
2026-02-14 -
Forecasting intraday volatility and densities using deep learnin
2026-02-14 -
Machine and deep learning methods for satellite-derived bathymetric mapping in Canadian coastal waters
2026-02-13 -
An A*-guided deep reinforcement learning framework for efficient and adaptive AGV path planning in digital workshops
2026-02-13 -
Lightweight deep learning system for infant-cry recognition with real-time notification in resource-constrained environments
2026-02-13 -
Implementation of Deep Learning for Measurement of Penile Curvature on Real 2D Intraoperative Images
2026-02-13 -
Combining values and images in deep learning models for time series forecasting: An electricity market case study
2026-02-13 -
Bridging lab and field: A review and roadmap for unmanned aerial vehicle-based field crop counting with deep learning
2026-02-13 -
Deep Learning Radiomics Based on Preoperational Ultrasound Images for Predicting Ipsilateral Ischemic Stroke in Patients with Carotid Artery Stenting: A Multicenter Study
2026-02-13 -
DenseSwinGNNNet: A Novel Deep Learning Framework for Accurate Turmeric Leaf Disease Classification
2026-02-13 -
A hybrid framework integrating deep learning and XAI for breast cancer detection with stratified cross-validation
2026-02-13 -
Advances in crack dataset development and deep learning-based detection models
2026-02-13 -
A class of regeneration-constrained supervised deep learning methods for multi-channel structural vibration response reconstruction
2026-02-12 -
The Science Behind Machine Learning, Deep Learning, and Active Learning
2026-02-12 -
Deep learning for automated identification of Vietnamese timber species: A tool for ecological monitoring and conservation
2026-02-12 -
C2DEEP-OT: Utilizing Multi-Agent Deep Reinforcement Learning Algorithm and Optimized Attentive Transformer Network for Cervical Cancer Detection
2026-02-12 -
A survey of deep learning for complex speech spectrograms
2026-02-12 -
Deep learning for three-dimensional (3D) plant phenomics
2026-02-12 -
Deep learning models based on DWI-MRI for prognosis prediction in acute ischemic stroke receiving intravenous thrombolysis: Development and validation
2026-02-12 -
From survey to solution: A deep learning framework for reliable monkeypox diagnosis using skin images
2026-02-12 -
Driving cycle reproduction supported deep learning co-optimization of freight EV powertrains in stochastic operation environments
2026-02-12 -
Impact of a deep learning reconstruction algorithm on image quality and dose reduction with ultra-high-resolution CT detectors: a phantom study
2026-02-12 -
Transformer-based integration of radiomics and deep learning for differentiating lipid-poor adrenal adenomas from malignant tumors
2026-02-12 -
Deep Reinforcement Learning for irrigation optimization: Advantages, opportunities, and challenges
2026-02-11 -
DeepCanvas: Sequential design strategy acquisition in context-aware building footprint synthesis using vision-based deep reinforcement learning
2026-02-11 -
Towards Decentralized IoT Security: Optimized Detection of Zero-Day Multi-Class Cyber-Attacks Using Deep Federated Learning
2026-02-11 -
Zero-shot multi-modal large language models v.s. supervised deep learning: A comparative analysis on CT-based intracranial hemorrhage subtyping
2026-02-11 -
Dynamic distance-based load balancing in mobile edge computing with deep reinforcement learning
2026-02-11 -
Ultraviolet-induced fluorescence mapping of facial porphyrin and sebum using deep-learning segmentation
2026-02-11 -
An Explainable Deep Learning Framework for Kidney Cancer Classification Using VGG16 and Layer-Wise Relevance Propagation on CT Images
2026-02-11 -
Change detection in Sentinel-2 images using deep learning ensembles
2026-02-11 -
PET/CT-based deep learning model predicts distant metastasis after SBRT for early-stage NSCLC: A multicenter study
2026-02-11 -
Image-based discrimination of ultrasound-assisted frozen meat using deep learning
2026-02-11 -
Deep Learning-Based Prediction of Enzyme Optimal pH and Design of Point Mutations to Improve Acid Resistance
2026-02-10 -
Screening and validation of Sinomenine hydrochloride deep eutectic solvents ligand based on machine learning algorithm
2026-02-10 -
Enhancing Roaming Security in Cloud-Native 5G Core Network through Deep Learning-Based Intrusion Detection System
2026-02-10 -
Towards transparent 6G AI-RAN: A survey on explainable deep reinforcement learning for intelligent network slicing
2026-02-10 -
Spatiotemporal crime prediction and fairness-constrained spatial optimization with deep reinforcement learning for patrol region design
2026-02-10 -
Off-design performance analysis of a supercritical carbon dioxide Brayton cycle coupled with a scramjet based on deep learning method
2026-02-10 -
Explore Advanced Hybrid Deep Learning for Enhanced Wireless Signal Detection in 5G OFDM Systems
2026-02-10 -
Continuous image representation based on deep learning for reducing interpolation bias in DIC
2026-02-10 -
Pushing boundaries in remote sensing: A comprehensive review of deep learning for spatial super-resolution
2026-02-10 -
DL-DHM: A novel approach for out of distribution datasets in Deep Learning based off-axis Digital Holographic Microscopy
2026-02-10 -
SIFT flow-based pattern registration for accurate deep learning-based single-shot fringe projection profilometry
2026-02-09 -
A deep learning approach for enhancing pandemic prediction: A retrospective evaluation of transformer neural networks and multi-source data fusion for infectious disease forecasting
2026-02-09 -
Cross-scale prediction of glioblastoma MGMT methylation status based on deep learning combined with magnetic resonance images and pathology images
2026-02-09 -
Deep learning-based thermomechanical fatigue life of nickel-based superalloys
2026-02-09 -
Geo-adaptive deep learning for regional-scale bathymetric modeling in optically and morphologically challenging waters: A case study of the Yellow River Estuary
2026-02-09 -
Physics-inspired deep learning network using dilated kronecker convolution for rotary machines under variable operating conditions
2026-02-09 -
Traffic sign detection and recognition in Jordan based on machine learning and deep learning
2026-02-09 -
Design and implementation of deep learning-based framework for multi-class fault diagnosis in complex chemical process systems
2026-02-09 -
Graph centrality and deep learning for enhanced portfolio management
2026-02-09 -
Integrating bi-dynamic strategy and multivariate deep learning algorithms to predict high-accuracy, long-term cropland soil organic matter
2026-02-09 -
Evaluation of State-of-the-Art Deep Learning Techniques for Plant Disease and Pest Detection
2026-02-08 -
Deep learning based SEM image analysis for predicting ionic conductivity in LiZr2(PO4)3-based solid electrolytes
2026-02-08 -
Forecasting visceral leishmaniasis in Sudan using hybrid wavelet based deep learning models on climate driven multivariate time series
2026-02-08 -
Deep learning-based approach for classifying mandarin orange maturity
2026-02-08 -
Deep learning for digital pathology: A critical overview of methodological framework
2026-02-08https://doi.org/10.1016/j.jpi.2025.100514.
Read more about Deep learning for digital pathology: A critical overview of methodological framework -
Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convolutional networks
2026-02-08 -
Graph deep-learning method for integrated topological and parametric optimization of hybrid electric vehicle powertrain
2026-02-08 -
Predicting daily stock price directions with deep learning models
2026-02-08 -
DICOMP: Deep Reinforcement Learning for Integer Compression
2026-02-08 -
Optimising deep learning for smart building energy prediction: A particle swarm approach with real-world validation
2026-02-08 -
Follow the leader: a deep reinforcement learning framework for safe and efficient autonomous car-following
2026-02-07 -
Multi-View Deep Learning for Mandibular Landmark Localization
2026-02-07 -
BO-CNN: A deep learning framework with Bayesian hyperparameter tuning for nutrient stress classification in Piper nigrum
2026-02-07 -
A deep learning-enhanced electrophoresis method for rapid freshness monitoring in cold-stored turbot (Scophthalmus maximus)
2026-02-07 -
Advanced deep reinforcement learning for optimizing 3D printing toolpaths: A framework with enhanced agent architectures, Count-Prioritized Replay, and curriculum learning
2026-02-07 -
An end-to-end solution for out-of-hospital emergency medical dispatch triage based on multimodal and continual deep learning
2026-02-07 -
Evolutionary dispersal of ecological species via Multi-Agent Deep Reinforcement Learning
2026-02-07 -
Deep learning and diffusion models for uplink channel estimation in MU-MIMO systems
2026-02-07 -
Deep Learning for Brain Tumor Segmentation and Classification: A Systematic Review of Methods and Trends,
2026-02-07 -
Artificial inteligence and datasets for leukemia diagnosis: A scoping review of machine lerning and deep learning approaches
2026-02-07 -
Biomass estimation in shrimp aquaculture using multimodal deep learning approaches
2026-02-06 -
Rapid and non-destructive origin authentication of goji berries using Raman spectroscopy and a lightweight deep learning framework
2026-02-06 -
A novel deep learning model based on internet of medical things for cell detection in biomedical image
2026-02-06 -
Revolutionizing flood forecasting by integrating rainfall-runoff correlation analysis with advanced deep learning techniques
2026-02-06 -
A generalizable deep learning framework for large-scale mapping of seagrass habitats
2026-02-06 -
Rapid seismic response prediction of city-scale RC frames under mainshock–aftershock sequences using deep learning and easily obtainable building information
2026-02-06 -
Multi-representational deep transfer learning for classifying hemorrhagic metastases and non-neoplastic intracranial hematomas in multi-modal brain MRI scans
2026-02-06 -
Spatial heterogeneity identification for rainfall-derived inflow and infiltration in urban sewer systems based on water level sensor networks: Insights from an interpretable deep learning method
2026-02-06 -
Pipeline to detect Colorado Potato Beetles as tiny objects under field conditions in real-time using deep learning and transfer learning techniques
2026-02-06 -
Large format battery SoC estimation: An ultrasonic sensing and deep transfer learning predictions for heterogeneity
2026-02-06 -
Oil-in-water concentration prediction for offshore oil & gas produced water treatment using deep learning approach with hyperparameter optimization
2026-02-05 -
Hippocampal auto-segmentation based on deep learning for identifying magnetic resonance imaging biomarkers of early mild cognitive impairment
2026-02-05 -
U-Net-based deep learning architecture for automated CBCT segmentation of the mandibular canal in dental implant treatment planning: A systematic review and meta-analysis
2026-02-05 -
Deep learning-derived arterial input function for dynamic brain PET
2026-02-05 -
A deep reinforcement learning approach for the asynchronous dynamic vehicle dispatching proble
2026-02-05 -
An intelligent cloud-enabled system for water quality index prediction of sewage treatment plant using deep learning models
2026-02-05 -
Self-adaptive fine-tuning of deep learning super-resolution microscopy for artifact suppression in live-cell imaging
2026-02-05 -
Improved guided-wave acoustic defect detection and localization in pipes under varying temperature conditions using deep learning
2026-02-05 -
Integrating deep learning and econometrics for stock price prediction: A comprehensive comparison of LSTM, transformers, and traditional time series models
2026-02-05 -
Active Learning-Enhanced Deep Ensemble Framework for Human Activity Recognition Using Spatio-Textural Features
2026-02-05 -
The evolving role of deep learning in image-based gynecological cancer Diagnosis: A comprehensive review
2026-02-04 -
Knowledge-informed deep learning to mitigate bias in joint air pollutant prediction,
2026-02-04 -
Hybrid deep learning and texture-augmented spectral features for sugarcane mapping,
2026-02-04 -
Deep learning on genomic sequences for rapid identification of drug-resistant tuberculosis
2026-02-04 -
Ultrasound-based multimodal machine learning nomogram for predicting deep vein thrombosis after total knee arthroplasty
2026-02-04 -
A Lightweight Multimodal Deep Fusion Network for Face Antis Poofing with Cross-Axial Attention and Deep Reinforcement Learning Technique
2026-02-04 -
Study on life prediction method for rail vehicle critical components based on deep learning models and track load spectra
2026-02-03 -
Lightweight cross scale feature fusion for microstructural inclusion detection in aluminum alloys using deep learning
2026-02-03 -
Deep Learning algorithm, based on convolutional neural networks, for equivalent electrical circuit recommendation for Electrochemical Impedance Spectroscopy
2026-02-03 -
Forecasting intraday volatility and densities using deep learning
2026-02-03 -
Interplay between Bayesian neural networks and deep learning: A survey
2026-02-03 -
The forward and inverse analysis of tunnel based on weak form physics-informed deep learning
2026-02-02 -
A Hybrid Deep Learning Approach Using Vision Transformer and U-Net for Flood Segmentation
2026-02-02 -
Skin lesion classification with mini-batch sampling and deep metric learning
2026-02-02 -
Gray-box dynamic model for wave glider driven by a hybrid of deep learning and physics-based models
2026-02-02 -
Creating a synthetic 3D CAD dataset for deep learning model training with integration of Voronoi diagrams into parametric design
2026-02-02 -
VOH-Net: vision-optimized hybrid network for deep learning-based phase unwrapping
2026-02-01 -
DenseSwinGNNNet: A Novel Deep Learning Framework for Accurate Turmeric Leaf Disease Classification
2026-02-01 -
An ensemble deep learning method for predicting cadmium content in eggs using hyperspectral imaging
2026-02-01 -
Machine learning and deep learning in FSO communication: A comprehensive survey
2026-02-01 -
Deep Learning–Based Segmentation of Lung Adenocarcinoma Whole-Slide Images for Objective Grading, Tumor Spread Through Air Spaces Identification, and Mutation Prediction
2026-02-01 -
Toxic effects of environmental biotoxin okadaic acid by network toxicology analysis and deep learning prediction
2026-01-31 -
Contribution of deep reinforcement learning to solve reconfigurable facilities layout problems
2026-01-31 -
Application of deep learning in detecting and classification of osteonecrosis: A systematic review and meta-analysis
2026-01-31 -
Deep Learning in neuroimaging for neurodegenerative diseases: State-of-the art, Challenges, and Opportunities
2026-01-31 -
A deep learning-IoT integrated framework for real-time groundwater quality monitoring and prediction in urban aquifers
2026-01-31 -
An explainable multitask deep learning framework based on QC multiscale modeling of nanoindentation in thin films
2026-01-30 -
Short term load forecasting using optimized deep learning based weighted DenseBiGRU for smart grids
2026-01-30 -
DeepBovC2H2-ZF: deep learning-guided prediction and molecular dynamics validation of C2H2 zinc finger transcription factors in Bovidae
2026-01-30 -
A novel embedded deep learning framework for real-time online chatter detection in robotic milling
2026-01-30 -
Harnessing deep learning to accelerate the development of antibodies and aptamers
2026-01-30 -
Sinkhorn imputation-based deep reinforcement learning approach for radio frequency parameter optimizations
2026-01-29 -
Zero-shot multi-modal large language models v.s. supervised deep learning: A comparative analysis on CT-based intracranial hemorrhage subtyping
2026-01-29 -
Estimating winter wheat biomass by coupling deep learning and hierarchical model using proximal remote sensing data
2026-01-29 -
An Explainable Deep Learning Framework for Kidney Cancer Classification Using VGG16 and Layer-Wise Relevance Propagation on CT Images
2026-01-29 -
Deep learning in plant phenotyping: the first ten years
2026-01-29 -
Boosting Cybersecurity: A Zero-Day Attack Detection Approach Using Equilibrium Optimiser with Deep Learning Model
2026-01-28 -
Blockchain-based Deep Learning Models for Intrusion Detection in Industrial Control Systems: Frameworks and Open Issues
2026-01-28 -
Predicting green hydrogen yield and gross energy quantity from water hyacinth images: Deep learning approach
2026-01-28 -
Enhancing Roaming Security in Cloud-Native 5G Core Network through Deep Learning-Based Intrusion Detection System
2026-01-28 -
Emulating visual evaluations in the microscopic agglutination test with deep learning
2026-01-28 -
Multi-layer protection of deep learning model using dual watermarking and encryption
2026-01-27 -
Towards transparent 6G AI-RAN: A survey on explainable deep reinforcement learning for intelligent network slicing
2026-01-27 -
Deep learning-powered high-efficient atomic force microscopy single-cell nanomechanical analysis on diverse biointerfaces
2026-01-27 -
Machine learning-guided optimization of Nb2CTx MXene preparation modified with tetrabutylammonium hydroxide: comprehensive structural characterization and enhanced performance analysis
2026-01-27 -
Evaluating activation strategies and their stability on PEM water electrolyzers using machine learning
2026-01-27 -
Explainable machine learning and intelligent optimisation algorithms synergistically driven prediction of fracture strength in amorphous alloys
2026-01-26 -
Estimation of fluid saturation and pressure distribution throughout a reservoir using machine learning techniques
2026-01-26 -
Cloud-based machine learning for scalable classification of software requirements: Insights from the PROMISE dataset
2026-01-26 -
Machine learning prediction of pKa of organic acids
2026-01-26 -
Enhancing Photovoltaic Parameters through Anti-Reflective Coatings: A DFT and Machine Learning-Based Study
2026-01-26 -
Insight into karst hydrological processes in the frequency domain: critical frequency, phase difference, causality, and machine learning model
2026-01-25 -
Machine learning-based prediction of PAHs thermal desorption efficiency: Model optimization, boundary correction, and mechanistic insights
2026-01-25 -
Real-time detection of photovoltaic module faults using a hybrid machine learning model
2026-01-25 -
Development of an App for analyzing and monitoring non-linear fluid-induced vibration of nanotube using analytical and machine learning approaches
2026-01-25 -
Predicting the Risk of Burnout Syndrome Using Korean Occupational Stress Scale (KOSS): A Machine Learning Approach
2026-01-25 -
Real-time and explainable rock mass classification under imbalanced tunnel boring machine data using hybrid resampling and ensemble learning
2026-01-24 -
Outperforming ESG stocks portfolio: A machine learning ranking model with catboots regressor
2026-01-24 -
An information-sharing and cost-aware custom loss machine learning framework for 3PL supply chain forecasting
2026-01-24 -
Learning stability-guaranteed skill and adaptive control strategies from demonstrations for heterogeneous component robotic machining
2026-01-24 -
Remote sensing and machine learning-based monitoring of seawater temperature variations and their effects on desalination efficiency
2026-01-24 -
Optimizing cultivation areas for Salvia leriifolia using advanced spatial prediction and hybrid machine learning algorithms for maximum bioactive compound yield
2026-01-23 -
Machine learning assisted electrocaloric and pyroelectric performance of Ba0.85Ca0.15Ti0.9Zr0.1O3 ceramic for solid state refrigeration
2026-01-23 -
A hybrid machine learning framework with GAN-based data augmentation for predicting strain properties of fiber-reinforced repair mortar
2026-01-23 -
Novel application of machine learning to enhance untrained and inexperienced evaluators’ diagnosis of acute pain in pigs
2026-01-23 -
Who you are versus where you are: Revealing the importance of determinants of within-city income inequality in China through an interpretable machine learning approach
2026-01-23 -
Integration of machine learning and fluorescence-based Bayesian mixing model for real-time source apportionment in urban stormwater drainages
2026-01-22 -
Machine learning regression models for internal shame
2026-01-22 -
High-content microscopy and machine learning characterize a cell morphology signature of NF1 genotype in Schwann cells
2026-01-22 -
Estimating military working dog core temperature change with machine learning: A simulation study
2026-01-22 -
Machine learning approach effectively discriminates between Parkinson’s disease and progressive supranuclear palsy: Multi-level indices of rs-fMRI
2026-01-22 -
Predicting the longitudinal efficacy of medication for depression using electroencephalography and machine learning
2026-01-21 -
Predicting In-Hospital Acute Kidney Injury after Cardiac Surgery Using Machine Learning
2026-01-21 -
Comparative machine learning analysis for gold mineral prediction using random forest and XGBoost: A data-driven study of the Greater Bendigo Region, Victoria
2026-01-21 -
Machine learning-aided adaptive control of spacecraft formation path planning and collision avoidance
2026-01-21 -
A machine learning approach to detect pores in laser powder bed fusion additive manufacturing
2026-01-21 -
Machine and deep Learning-Powered analysis of photovoltaic properties in 4-terminal FASnI3/CIGS tandem solar cells
2026-01-20 -
De-risking overburden and caprocks for CO2 storage using machine-learning seismic fault attributes
2026-01-20 -
Machine learning based model for the prediction of dimensionless temperature in multimode heat transfer
2026-01-20 -
Integrating machine learning and WGCNA for nomogram diagnostic model unveiling previously unrecognized phase separation-related molecular markers and immuno-cytotoxic pathways in Williams-Beuren syndrome
2026-01-20 -
Deep learning and machine learning in Magnetic Resonance Cholangiopancreatography-based diagnosis and management of primary Sclerosing Cholangitis: A systematic review
2026-01-20 -
Machine Learning Based Prediction of Creep Life for Nickel-Based Single Crystal Superalloys
2026-01-19 -
A ten-year meteorological simulation and optimization in China based on traditional data assimilation and machine learning methods
2026-01-19 -
Comparing machine learning algorithms for simultaneous prediction of tree diameter distribution percentiles
2026-01-19 -
Predicting mortality across hospital departments: A machine learning approach for various health care-associated infections
2026-01-19 -
Automated imaging and machine learning for soil bacteria classification: Challenges and insights
2026-01-19 -
Explainable machine learning for passive design: Early-stage building energy reduction in hot-arid climates
2026-01-18 -
Machine learning-driven design of low-density Ta-Nb-W-V-Zr-Ti-Mo refractory high-entropy alloys for high-temperature applications
2026-01-18 -
Using machine learning to identify audit opinion shopping
2026-01-18 -
Automated machine learning for residential property valuation
2026-01-18 -
Machine learning-based prediction of pre-weaning lamb survival using animal-, housing-, and management-related factors
2026-01-18 -
A new method for internal urinary metabolite exposure and dietary exposure association assessment of 3-MCPD and glycidol and their esters based on machine learning
2026-01-17 -
Machine-learning-guided predict and design of polymeric carbon nitride for H2O2 photosynthesis
2026-01-17 -
Gully erosion prediction using weight of evidence and advanced machine learning models
2026-01-17 -
A Hybrid Machine Learning and Blockchain Framework for IoT DDoS Mitigation
2026-01-17 -
Decoding oxygen preference: Machine learning discovers functional genes in Bacteria
2026-01-17 -
Research on optimization design of wind turbine steel tower foundation based on machine learning
2026-01-16 -
Improvement of machine learning models for predicting high-grade subtypes of lung adenocarcinoma based on delta radiomics: A multicenter cohort study
2026-01-16 -
Experimental and machine learning assessment of sustainable natural fiber reinforced concrete incorporating waste brick powder as an alternative binder materials
2026-01-16 -
Machine learning and whale optimization algorithm for enhanced hydrogen storage alloy design
2026-01-16 -
Machine learning in AIRR diagnostics: Advances and applications
2026-01-16 -
An ecohydrological framework for balancing hydropower and aquatic health using machine learning and multi-objective optimization
2026-01-15 -
Machine learning assisted photocurrent wavelength classification in a self-powered broadband photoelectrochemical photodetector based on Bi2Te0.6Se2.4/MoSe2 heterojunctions
2026-01-15 -
From microstructure to mechanical properties: Image-based machine learning prediction for AZ80 magnesium alloy
2026-01-15 -
Application of multiple machine learning models to rainstorm disaster loss assessment and driving mechanism analysis in Zhejiang Province, China
2026-01-15 -
Phosphorus recovery using biochar for beryllium removal: Experimental evaluation and performance prediction via machine learning
2026-01-15 -
Machine learning assisted enhancement of petrophysical property dataset of fractured Variscan granites of the Cornubian Batholith, SW UK
2026-01-14 -
Machine learning for complex microstructures - latent features as an alternative to physical features in steel structure-property relationships
2026-01-14 -
Enhancing Ransomware Detection with Machine Learning Techniques and Effective API Integration
2026-01-14 -
Leveraging low-cost sensors and machine learning for air quality insights in an urban location of Zimbabwe: A case study
2026-01-14 -
Integrated Metabolomics-KPCA-Machine Learning framework: a solution for geographical traceability of Chinese Jujube
2026-01-14 -
New method for damage detection in steel beam using time-frequency functions and machine learning
2026-01-13 -
Double capped L1-norm extreme learning machine for regression and classification
2026-01-13 -
Machine learning mutation-acyclicity of quivers
2026-01-13 -
Interpretable machine learning for predicting key hazardous properties of chemicals
2026-01-13 -
Microbiome-driven machine learning for predicting suppressiveness to Rhizoctonia solani in organic-amended soils,
2026-01-13 -
Using machine learning and satellite data to analyse climate change in the Upper Awash Sub-basin, Ethiopia
2026-01-12 -
HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time
2026-01-12 -
Enhancing the specific modulus of Al–Li alloys: A machine learning approach to micro-alloying element identification
2026-01-12 -
Machine learning method to investigate the influence of alloy elements on non-metal interstitials in HCP metals
2026-01-12 -
A cloud-based landslide and weather nowcasting system with collaborative machine learning for the Chitrakoot region in Mauritius
2026-01-12 -
Predicting the total heating and cooling energy consumption with ultra high-performance fiber reinforced concrete facade panels using explainable machine learning models
2026-01-11 -
Machine learning-driven optimization of iron-based oxygen carriers for enhanced hydrogen production from biomass chemical looping gasification
2026-01-11 -
Applying machine learning to analyze the key features of transit-oriented gentrification - A case study of Taipei metropolitan area
2026-01-11 -
Scientific machine learning based framework to forecast time evolving pressure signals during hydrogen leaks
2026-01-11 -
Assessing groundwater potential in the guder watershed, Ethiopia, using geospatial technologies, Google Earth Engine, and machine learning
2026-01-11 -
Predicting response to inhaled corticosteroid maintenance therapy in patients with chronic obstructive pulmonary disease using machine learning models
2026-01-10 -
Machine-learning-assisted joint optimization of impeller and volute for 6 MF-20 centrifugal fire extinguishers with three-dimension computational fluid dynamics and experiment
2026-01-10 -
Can we use APSIM’s embedded expert knowledge to ‘train’ a machine learning model to identify, at high resolution, land suitable to grow lucerne (Medicago sativa L.) using simplified climate data?
2026-01-10 -
Childhood trauma and adolescent anxiety: Uncovering emotion regulation pathways through integrated machine learning and traditional statistics
2026-01-10 -
Authentication scheme resistant to machine learning based on obfuscation of multiple PUF responses
2026-01-10 -
Leveraging Machine Learning to Predict Hospital Porter Task Completion Time
2026-01-09 -
Machine learning-based investigation of δ phase precipitation behavior in IN718 alloy and its influence on tensile properties
2026-01-09 -
Machine learning-guided prediction of polymeric membrane performance in forward osmosis
2026-01-09https://doi.org/10.1016/j.seppur.2025.135037.
Read more about Machine learning-guided prediction of polymeric membrane performance in forward osmosis -
Machine learning-based prediction approaches for the fracture toughness of quasi-brittle materials
2026-01-09 -
Non-destructive classification of dehydrated quince slices using image processing and comparative machine learning approaches
2026-01-09 -
Flat superhydrophilic coating and machine learning of co-sputtered coatings for wettability prediction
2026-01-07 -
Predicting the ultimate strength of rectangular concrete-filled steel tube columns under eccentric loading using a knowledge-enhanced machine learning framework
2026-01-07 -
A novel heterojunction aerogel substrate for SERS machine learning-based explosive wastewater detection
2026-01-07 -
Correlation of environmental variables with Heteromastus filiformis habitat density: Gap-filling and machine learning approaches
2026-01-07 -
Mechanistic insights into aristolochic acid-induced hepatocellular carcinoma: a multi-dimensional analysis integrating network toxicology, machine learning, and molecular dynamics simulation
2026-01-07 -
Predictive modelling of tensile strength and hardness of microwave assisted AA7075/Sic composite through supervised machine learning algorithms
2026-01-06 -
Optimizing methane catalytic hydrogen production via a hybrid Boruta-XGB and stacking ensemble machine learning framework
2026-01-06 -
Advancing machine learning tools for early prediction and clinical diagnosis of pre-eclampsia
2026-01-06 -
Predictors of childhood vaccination uptake in England: an explainable machine learning analysis of regional data (2021–2024)
2026-01-06 -
Interpretable machine learning models for predicting hormesis of binary antibiotic mixtures on Vibrio qinghaiensis sp.-Q67
2026-01-06 -
Real-Time pH Monitoring and Machine Learning Prediction of Phosphorus Precipitation Kinetics in Urine Systems
2026-01-05 -
Revisiting China’s energy poverty: Machine learning insights into key predictors and nonlinear relationships
2026-01-05 -
Predicting synergistic effects on biofuel production from microalgae (Spirulina)/Tire Co-pyrolysis using ensemble machine learning
2026-01-05 -
A machine learning approach to vulnerability detection combining software metrics and topic modelling: Evidence from smart contracts
2026-01-05 -
Pioneering machine learning techniques to estimate thermal conductivity of carbon-based phase change materials: A comprehensive modeling framework
2026-01-05 -
Machine learning prediction of photovoltaic-thermal system with V-shaped perforated fins
2026-01-04 -
Non-invasive occupancy estimation and space utilization in smart buildings: Leveraging machine learning with PIR sensors and booking data
2026-01-04 -
Multimodal machine learning models enhance outcome prediction in intrahepatic cholangiocarcinoma
2026-01-04 -
Scale-dependent drivers of water use efficiency across China: integrating stable isotopes, remote sensing, and machine learning
2026-01-04 -
Data-driven machine learning approach for stress history evaluation in cohesive soils using cone penetration test data
2026-01-04 -
Sustainable use of red mud in concrete: Assessing mechanical strength, durability, and performance through machine learning models
2026-01-03 -
Electrocardiogram (ECG)-based seizure detection using supervised machine-learning
2026-01-03 -
Hybrid hydrological modeling: Integration of machine learning and conventional hydrology
2026-01-03 -
Machine learning models to predict stock market spillovers
2026-01-03 -
Machine learning to predict mitochondrial diseases by phenotypes
2026-01-03 -
PhishHunter-XLD: An ensemble approach integrating machine learning and deep learning for phishing URL classification
2026-01-02 -
A novel manifold discriminant extreme learning machine combined with an E-nose for chili pepper identification via aroma analysis
2026-01-02 -
Machine-learning-guided discovery of SLC25A45 as a mediator of mitochondrial methylated amino acid import and carnitine synthesis
2026-01-02 -
From LLM to Agent: A large-language-model-driven machine learning framework for catalyst design of MgH2 dehydrogenation
2026-01-02 -
A machine learning framework for the prediction and analysis of bacterial antagonism in biofilms using morphological descriptors
2026-01-02 -
Advanced artificial intelligence driven framework for lung cancer diagnosis leveraging SqueezeNet with machine learning algorithms using transfer learning
2025-12-31 -
Interpretable knowledge-guided machine learning for prediction wettability hydrogen-rocks/minerals-brine system in underground hydrogen storage project
2025-12-31 -
Profiling prediction errors to diagnose performance limitations in machine learning models for geogenic contaminated groundwaters
2025-12-31 -
The formation and penetration characteristics of underwater shaped charge jets at varying depths: experiment, simulation, and machine learning
2025-12-31 -
Machine learning-guided reparameterization of the TIP4P water model for accurate thermal and electrical property predictions
2025-12-31 -
Drivers of herpes zoster vaccine hesitancy in adults aged 50 and above: A machine learning approach
2025-12-30 -
Instantaneous power prediction for industrial robots using tree-based machine learning methods
2025-12-30 -
Predictive factors of citizen investment in rooftop solar panels: Evidence from a social innovation project in Iran using machine learning
2025-12-30 -
Satellite data and physics-constrained machine learning for estimating effective precipitation in the Western United States and application for monitoring groundwater irrigation
2025-12-30 -
Lessons from the trenches on evaluating machine learning systems in materials science
2025-12-30 -
Improving Prognostic Risk Assessment of Cardiovascular Events with Machine Learning: An Evaluation Using PET Myocardial Perfusion Imaging
2025-12-29 -
Advancing Amorphous Solid Dispersions Design: Insights into Dissolution Kinetics via Thermodynamic Descriptor and Machine Learning
2025-12-29 -
A novel hybrid approach combining kernel extreme learning machine and model-agnostic meta-learning for photovoltaic fault diagnosis with limited samples
2025-12-29 -
Battery-Insight-PSO: A machine learning model for accurate prediction of state of health and remaining useful life in lithium-ion batteries
2025-12-29 -
A review on machine learning-based prognostics and health management for hydrogen fuel cells
2025-12-29 -
Integrating Sentinel-2 and ESA world cover for effective land use and land cover assessment using machine learning
2025-12-28 -
Vis/NIR spectroscopy and machine learning model for counterfeit Citri Reticulatae Pericarpium identification, Journal of Food Composition and Analysis
2025-12-28 -
A machine learning framework for screening phenyl phthalimide derivatives as corrosion inhibitors based on dataset generated by DFT and molecular dynamics simulations
2025-12-28 -
Creating a guide to identify patients who may leave without being seen: A machine learning approach
2025-12-28 -
Comparison of machine learning and human prediction to identify trauma patients in need of hemorrhage control resuscitation (ShockMatrix study): a prospective observational study
2025-12-28 -
Design and research of English material archives management system based on machine learning technology
2025-12-27 -
Fusion of satellite and gauge precipitation observations through coupling spatio-temporal properties with tree-based machine learning
2025-12-27 -
Atrial fibrillation drug structural analysis and predictive modeling employing machine learning methods
2025-12-27 -
Comprehensive chemometric and machine learning methods for determination of synthetic dyes adulteration in ceylon tea via NIR spectroscopy and hyperspectral imaging
2025-12-27 -
Predicting restoration failures in primary and permanent teeth – A machine learning approach
2025-12-27 -
Quantitative relationships between structure characteristics and mass transfer for chromatographic resin by combining digital material techniques and machine learning algorithms
2025-12-26 -
Machine learning prediction of electric field-dependent absorption coefficient in CdTe/CdS quantum dots
2025-12-26 -
Trace-level discrimination and detection of polycyclic aromatic hydrocarbons via hybrid photonic-plasmonic SERS sensors integrated with machine learning algorithms
2025-12-26 -
Data-driven optimization of polycyclic aromatic hydrocarbons removal by organic composites from aquatic environments: Integrating machine learning with theoretical calculations
2025-12-26 -
Machine learning-powered Raman spectroscopy for rapid/timely/low-cost early diagnosis and monitoring of diabetic nephropathy
2025-12-26 -
A new perspective on estimating Chlorophyll-a concentrations using machine learning and remote sensing: a case study of New York state lakes
2025-12-25 -
Metrics for Evaluating Stochastic Outputs in Machine Learning Models: Addressing Accuracy and Uncertainty
2025-12-25 -
Machine learning-assisted biomass colorimetric dipsticks for portable clinical nephropathy diagnosis by using smart mobile terminal
2025-12-25 -
Multiparametric magnetic resonance imaging (MRI)–based interpretable radiomics machine learning model for outcome prediction in adenomyosis treated by high-intensity focussed ultrasound
2025-12-25 -
A physics-informed machine learning framework for speed-flow prediction: Integrating an S-shaped traffic stream model with deep learning models
2025-12-25 -
Optimizing foamed glass production with machine learning
2025-12-24 -
Machine learning insights into groundwater demand under changing surface water availability: Murray-Darling Basin, Australia
2025-12-24 -
Metaheuristic-optimized machine learning models for accurate prediction of limestone calcined clay cement (LC3) compressive strength
2025-12-24 -
Rough set machine learning informed decision rules for effective adsorption of methylene blue and Congo red dyes by hydrochar
2025-12-24 -
Detecting optimal gaze behavior of successful basketball free throwing via machine learning system
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A machine learning framework for screening phenyl phthalimide derivatives as corrosion inhibitors based on dataset generated by DFT and molecular dynamics simulations
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Creating a guide to identify patients who may leave without being seen: A machine learning approach
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Comparison of machine learning and human prediction to identify trauma patients in need of hemorrhage control resuscitation (ShockMatrix study): a prospective observational study
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Design and research of English material archives management system based on machine learning technology
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Fusion of satellite and gauge precipitation observations through coupling spatio-temporal properties with tree-based machine learning
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Atrial fibrillation drug structural analysis and predictive modeling employing machine learning methods
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Comprehensive chemometric and machine learning methods for determination of synthetic dyes adulteration in ceylon tea via NIR spectroscopy and hyperspectral imaging
2025-12-22https://doi.org/10.1016/j.microc.2025.115697
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Predicting restoration failures in primary and permanent teeth – A machine learning approach
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Quantitative relationships between structure characteristics and mass transfer for chromatographic resin by combining digital material techniques and machine learning algorithms
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Machine learning prediction of electric field-dependent absorption coefficient in CdTe/CdS quantum dots
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Trace-level discrimination and detection of polycyclic aromatic hydrocarbons via hybrid photonic-plasmonic SERS sensors integrated with machine learning algorithms
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Data-driven optimization of polycyclic aromatic hydrocarbons removal by organic composites from aquatic environments: Integrating machine learning with theoretical calculations
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Machine learning-powered Raman spectroscopy for rapid/timely/low-cost early diagnosis and monitoring of diabetic nephropathy
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A new perspective on estimating Chlorophyll-a concentrations using machine learning and remote sensing: a case study of New York state lakes
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Metrics for Evaluating Stochastic Outputs in Machine Learning Models: Addressing Accuracy and Uncertainty
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Machine learning-assisted biomass colorimetric dipsticks for portable clinical nephropathy diagnosis by using smart mobile terminal
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A physics-informed machine learning framework for speed-flow prediction: Integrating an S-shaped traffic stream model with deep learning models
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Optimizing foamed glass production with machine learning
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Machine learning insights into groundwater demand under changing surface water availability: Murray-Darling Basin, Australia
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Metaheuristic-optimized machine learning models for accurate prediction of limestone calcined clay cement (LC3) compressive strength
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Rough set machine learning informed decision rules for effective adsorption of methylene blue and Congo red dyes by hydrochar
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Detecting optimal gaze behavior of successful basketball free throwing via machine learning system
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Machine learning-based framework for assessing the financial viability of decentralized rainwater harvesting systems
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Machine learning methods in microscopic pedestrian and evacuation dynamics simulation: a comparative study
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Ultra-sensitive terahertz biochemical detector via gold–graphene synergistic metastructures enhanced by machine learning optimization
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Development of a technique to identify μm-sized organic matter in asteroidal material: An approach using machine learning
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Applying machine learning to safe vascular anastomosis
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Optimization of sootblower operation based on machine learning to improve efficiency and NOx reduction
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Sustainable environmental education: Some machine learning algorithms in the classification of sustainable environmental attitudes
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Acid leaching of copper from copper slag based on machine learning analysis
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Discrimination of easily confused tea leaves with similar appearance (Gougu tea vs. Gonglao tea) via an integrated method of electronic tongue, HPLC-QTOF-MS-VirtualTaste, electronic nose, electrochemical fingerprinting and machine learning
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Predicting wildfire occurrences in Portugal using machine learning classification models
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Predicting in vitro assays related to liver function using probabilistic machine learning
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Evaluating ensemble machine learning and feature optimization for mapping peatland vegetation using UAS-derived data
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Sensors prioritisation for hydrological forecasting based on interpretable machine learning
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Machine learning based on metabolomics to discriminate Wuyi rock tea production areas and “rock flavor” substances
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Multi-objective concrete mix design for sulfate attack resistance using interpretable machine learning predictions
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Progress in CP violating top-Higgs coupling at the LHC with Machine Learning
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Data-driven modeling of syngas yield from biomass pyrolysis using hybrid tree-based machine learning algorithms
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Biomimetic SERS platform with machine learning for sensitive detection of pesticides in complex food matrices
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Prediction of measuring instrument calibration interval based on risk priority number and reliability using machine learning
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Predicting rare earth extraction efficiency with organophosphorus ligands: A data-driven machine learning approach
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Machine learning to predict phase transformation products and their morphologies – Application in design of lean high strength steel
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Machine learning–enabled optimization of a direct air capture system integrated with enhanced oil recovery
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Correlation of environmental variables with Heteromastus filiformis habitat density: Gap-filling and machine learning approaches
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Prediction of hydrogen production process by glycerol steam reforming using machine learning models
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Bionic vascular fin latent heat system synergistically enhances heat Transfer: Parameter optimization and prediction of pulsating flow and Nanofluid based on machine learning
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Homogenization of n-component composites with stochastic interface defects using machine learning approach
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Application of contrast-enhanced CT-driven multimodal machine learning models for pulmonary metastasis prediction in head and neck adenoid cystic carcinoma
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Machine learning based prediction for China's household cooking energy transition under the Shared Socioeconomic Pathways
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Enhancing the reliability of social vulnerability assessment to natural hazards through combined machine learning methods: A case study in Vietnam
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Retention time prediction of forensic compounds using ensemble machine learning and molecular descriptors
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Predictive modelling of tensile strength and hardness of microwave assisted AA7075/Sic composite through supervised machine learning algorithms
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Machine learning-assisted hyperspectral reflectance analysis for non-destructive detection of clothianidin residues in tea chrysanthemum
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Smart sensors, smart calibration: Applications in machine learning for coal dust monitoring
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Predictors of childhood vaccination uptake in England: an explainable machine learning analysis of regional data (2021–2024)
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Chaotic variational auto encoder-based adversarial machine learning
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Numerical modelling in assisting machine learning for the enhanced condition monitoring of rotors
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pH acidification in the Red Sea: A machine learning-based validation study
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Construction of a machine learning-based prediction model for rice varieties—cooking—mastication
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A data-driven machine learning approach toward an improved maize crop production
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Comparing the Impacts of Urban Form on Urban-Rural Temperature and Human-Perceived Temperature Differences Using Interpretable Machine Learning Models
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Machine learning interatomic potential for finite-size graphene
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Blaschke learning machine: A novel and efficient continual learning classifier toward intelligent fault diagnosis
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Machine learning prediction for thermal–hydraulic parameters of semicircular-fin fuel bundle in lead–bismuth fast reactor
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Predicting oxcarbazepine-induced hyponatremia in adult epilepsy patients: A multicenter machine learning analysis using real-world CDM data
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Accelerated and efficient modeling of low-κ organosilicate glass with the M3GNet machine learning interatomic potentials
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Machine learning fosters geophysical inversion for quantified geothermal parameters
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Prediction of compressive strength of fly ash-based geopolymers concrete based on machine learning
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Design and prediction of soft-to-hard transitions using bioinspired hierarchical-gradient designs and hybrid stacking machine learning
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Predicting the risk of COVID-19 among adult patients with diabetes: A machine learning approach
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Physical metallurgy-guided machine learning for strength-plasticity optimization in aluminum alloys
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A machine learning framework for soft skills assessment: Leveraging serious games in higher education
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Application of machine learning in radiolarian taxonomy: A case study on Early Cretaceous Turbocapsula lineage
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Machine learning to predict mitochondrial diseases by phenotypes
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Machine Learning Model for Predicting Sertraline-like Activities and Its Impact on Cancer Chemosensitization
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Kernel based physics-informed machine learning for approximating CEV model under nonlinear volatility regimes in real-world financial environments
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Implementing machine learning for predictive analytics: An empirical study of employee turnover
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Machine learning for predicting thrombotic recurrence in antiphospholipid syndrome
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Machine learning-driven dielectric constant prediction for rock-salt structured microwave dielectric ceramics
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Simulating and optimizing the integrating process of anaerobic digestion and aerobic composting using machine learning
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The counterfactual challenge: How machine learning can enhance policy evaluation
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PMTFIM: Integrating machine learning with nutrient balance theory to estimate multi-stage paddy fertilization information at field scale over large regions
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Toxicity prediction of insecticides and pesticides via machine learning approach
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Geographically weighted machine learning for predicting the spatial distribution of groundwater nitrate nitrogen (NO3-N) concentration
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Prediction model for corrosion resistance of carbonated recycled aggregate concrete based on machine learning
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Implementation of Machine Learning sampling techniques for initial geometry prediction in heavy ion collision experiment
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The formation and penetration characteristics of underwater shaped charge jets at varying depths: experiment, simulation, and machine learning
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Instantaneous power prediction for industrial robots using tree-based machine learning methods
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Kinetic analysis and prediction modeling by advanced machine learning of pyrolysis of dairy cattle manure from conventional and organic systems
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AI-driven seismic optimization of outrigger systems in high-rise buildings: A machine learning framework for enhanced performance in earthquake-prone regions
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Predicting literacy intervention responsiveness using semi-supervised machine learning
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Development of a litho-structural map for the Upper Mereb area, Eritrea, using multi-source remote sensing data and machine learning models
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Quantitative relationships between structure characteristics and mass transfer for chromatographic resin by combining digital material techniques and machine learning algorithms
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Three-Dimensional Radiomics and Machine Learning for Predicting Postoperative Outcomes in Laminoplasty for Cervical Spondylotic Myelopathy: A Clinical-Radiomics Model
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Data-driven optimization of polycyclic aromatic hydrocarbons removal by organic composites from aquatic environments: Integrating machine learning with theoretical calculations
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Identification of Novel Biomarkers for Hypertension and Ventricular Remodeling Based on Transcriptomics and Machine Learning
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Impact of drought on de facto reuse and water quality in Lake Mead: Insights from hydrodynamic modeling versus machine learning
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Dynamic Prediction of Postprandial Glycemic Response and Personalized Dietary Interventions Based on Machine Learning
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A fast seismic assessment technique for reinforced concrete buildings: Machine learning-based Hassan Index
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Demand-driven predictive tailoring of anisotropic yield surfaces in origami metamaterials via machine learning
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Predicting ammonia solubility in ionic liquids using machine learning models based on critical properties
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Enhancing big data analysis in IoT applications and optimizing the performance of machine learning models using hybrid dimensionality optimization approach
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Machine learning methods in microscopic pedestrian and evacuation dynamics simulation: a comparative study
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Machine learning-driven phase prediction and corrosion behavior of (CoCrNi)(100-x-y) AlxTiy high-entropy alloys in Ringer's solution
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What influence digital inclusive finance from policy tones? Based on machine learning
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Acid leaching of copper from copper slag based on machine learning analysis
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Prediction of mechanical properties of 16Mn large tube plates based on machine learning
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Hybrid machine learning and soft computing methods for predicting and optimizing natural convection in a C-shaped cavity with double diffusion effects
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Application of explainable machine learning to characterizing apatite fertility in porphyry-skarn deposits
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Predicting radiation-acute esophagitis via machine learning algorithms
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Perspectives on machine learning: Predicting the combined effects and strategies of water management and biochar treatment on soil Cd activity and Cd accumulation in rice
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Progress in CP violating top-Higgs coupling at the LHC with Machine Learning
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Decoding weight-gain patterns in tungsten-containing refractory high-entropy alloys under high-temperature oxidation through machine learning
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Using machine learning with supplemented NC code to predict machining energy
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Developing safety performance functions incorporating pavement roughness using Poisson regression and Machine learning models on Jordan’s Desert Highway
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Development and evaluation of neighborhood social risk indices for surgery using outcome-specific machine-learning models
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Predicting filter cake thickness in drilling fluids using machine learning techniques
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Machine learning-optimized jet-enhanced immersion liquid cooling for high-power data centers
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Machine learning for adsorption-related parameters prediction of electronic specialty gases: DFT-based dataset construction and balanced data augmentation
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Integrating machine learning with electromechanical impedance for non-destructive detection of bolt looseness in steel structures
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Machine Learning in Indoor Localization Prediction Using Received Signal Strength Indicator and Wi-Fi Network
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Exploring maximum likelihood and Bayesian approaches for two-dimensional image restoration: A machine learning perspective
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Machine learning-based plasma-derived extracellular vesicle signatures for digestive system cancers prediction
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MegaEye: Applying multiple machine learning approaches to identify oral compounds with ocular bioactivity
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Increasing the prediction efficacy of the thermodynamic properties of R515B refrigerant with machine learning algorithms using SMOGN data augmentation method
2025-11-30 -
Evaluating solar drying effects and machine learning models for nutritional quality of Jerusalem artichoke
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A machine learning-based generative design approach for rapid topology optimization of microchannel heat sinks
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Intelligent assessment of habitat quality based on multiple machine learning fusion methods
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Development of a machine learning-based risk prediction model for perioperative neurocognitive disorders
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Classification of toxic element accumulation in rice grains using optimized machine learning models: A comparative study
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Democratizing interactivity: An overview of interfaces for multimedia machine learning
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Real-time classification of Serengeti wildebeest behaviour with edge machine learning and a long-range IoT network
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CVaR-based risk parity model with machine learning
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Chirality recognition of amino acid by combining machine learning method and sliding window technique
2025-11-30 -
ANN vs. traditional machine learning models: A comparative study on open switch fault diagnosis in VSIs for solar pumping systems
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Evaluating CEO hubris effects on sustainable performance in the IC design industry: An integrated dynamic network DEA framework with machine learning
2025-11-25 -
An interpretable machine learning framework for automated mitosis detection in gastrointestinal stromal tumors
2025-11-25 -
Digital capability and rural household development resilience: A double machine learning approach
2025-11-25 -
Classifying demonstration format and presenter identity in imitative learning task: EEG-based explainable machine learning
2025-11-25 -
A blockchain solution for decentralized training in machine learning for IoT
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Comprehensive Serum Glycopeptide Spectrum Analysis with Machine Learning for Non-Invasive Early Detection of Gastrointestinal Cancers
2025-11-25 -
Integrating machine learning and CFD for enhanced trailing edge serration design on a NACA 0012 wind turbine blade
2025-11-25 -
Predictive modeling and stability analysis of tetradecanoic acid-modified zinc/zinc oxide coatings using machine learning
2025-11-25 -
Determination of (p, n) reaction cross-section for various nuclei at 7.5 MeV by using machine learning models
2025-11-25 -
Prediction of fast-charging capabilities in LiFePO₄/graphite lithium-ion batteries using internal resistance and machine learning
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Tunable graphene-based metamaterial thermal absorber design for thermal sensing applications with behaviour prediction using machine learning
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Determination of mechanical properties of physical vapor deposition tool coatings using machine learning
2025-11-25 -
Heuristic Custom Similarity Index (HCSI): A novel machine learning approach for link prediction
2025-11-25 -
Sinkhole susceptibility mapping in Greene county, Missouri through machine learning algorithms
2025-11-25 -
Machine learning based prediction of nitrogenous product yield in biomass pyrolysis oil
2025-11-25 -
Machine learning modeling of melt-spinning for yarn property prediction
2025-11-25 -
OpenPyStruct: Open-source toolkit for machine learning-driven structural optimization
2025-11-25 -
Multidimensional strategy for discovering saltiness-enhancing peptides in shrimp heads integrating ultra-high pressure hydrolysis and machine learning
2025-11-25 -
Machine confirming: Validating financial theories with transfer learning
2025-11-25 -
A multilevel machine learning algorithm to predict session-by-session outcome for patients receiving cognitive-behavioural therapy
2025-11-25 -
AI-driven extraction and intelligent retrieval of missionary archives in Malabar: advancing preservation and accessibility with machine learning
2025-11-24 -
Pyrolysis characteristics of microalgae and machine learning modelling for activation energy
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Application of machine learning in python for temporal groundwater level prediction
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HyperGraph-based Minimax Probability Machines for Semi-Supervised Learning
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Exploring the coupling of ecosystem services and human well-being: evidence from Chinese cities through interpretable machine learning
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Beyond the last surprise: Reviving PEAD with machine learning and historical earnings
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Building energy prediction in a changing climate: an interpretable machine learning approach
2025-11-24 -
2D and 3D QSAR-Based Machine Learning Models for Predicting Pyrazole Corrosion Inhibitors for Mild Steel in HCl
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Machine learning-driven insights into the microstructure and properties of high-entropy alloys
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Moisture content prediction in durian husk biomass via near infrared spectroscopy coupled with aquaphotomics and explainable machine learning
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Foreign aid's double-edged sword effect on carbon emissions: A machine learning approach
2025-11-24 -
A rapid method for determination of plasmid types and transformations based on combining the Fourier-transform infrared spectral data with machine learning
2025-11-24 -
New models for estimating pure shear fracture toughness of confined quasi-brittle PTS specimens: Empirical and machine learning framework
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Machine learning-based damage classification and comparative life cycle assessment of Origami Pill Bug for emergency shelters
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Roughness-informed machine learning – A call for fractal and fractional calculi
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Prospectivity mapping and exploration targeting for sediment-hosted Pb–Zn deposits in NW Guizhou of SW China using an integrated machine learning framework
2025-11-24 -
Determining the geographical origin of Fritillaria by terahertz spectroscopy and machine learning algorithms
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Sysmon event logs for machine learning-based malware detection
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Advancing ovarian cancer outcomes with CTGAN-enhanced hybrid machine learning approach
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Material property prediction of perovskite oxides based on machine learning
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A machine learning based calibration method for differential scanning calorimetry
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A machine learning assisted approach to classify rose species and varieties with laser induced breakdown spectroscopy
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Adversarial learning enhanced multi-agent cooperative reinforcement learning for parallel batch processing machine scheduling in wafer fabrication
2025-11-24 -
Exploring the Nonlinear and Spatial Effects of Urban Activity Heterogeneity on the Nighttime Thermal Environment Using Machine Learning and GWR
2025-11-24 -
Identification of 37 kinds of herbs containing oligosaccharides by combining data fusion and machine learning
2025-11-24 -
A comprehensive prediction framework for offshore downhole collapse pressure based on machine learning and multi-attribute decision analysis: Insights from the East China Sea,
2025-11-24 -
Sampling strategies for machine learning-based linear erosion studies: a review approaching contributing area
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Enhanced prediction of ammonia nitrogen levels in reverse osmosis brine from a full-scale water reclamation plant using machine learning
2025-11-24 -
Using machine learning to predict child active transportation prevalence
2025-11-24 -
Application of latent variable models for hidden pattern identification and machine learning prediction improvement in structural engineering
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Machine learning from a “Universe” of signals: The role of feature engineering
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Machine learning prediction of heat capacity of polymers as a function of temperature
2025-11-24 -
Machine Learning-Based Prediction of Stand Biomass Using Multi-Source Environmental Data in the Hulunbuir Mixed Forests, Inner Mongolia
2025-11-24 -
Quantitative radiomic analysis of computed tomography scans using machine and deep learning techniques accurately predicts histological subtypes of non-small cell lung cancer: A retrospective analysis
2025-11-24 -
Prediction and optimization of transverse thermal conductivity of green fiber composites based on interpretable machine learning
2025-11-24 -
Recent advances in the high entropy materials for advanced energy storage with machine learning
2025-11-24 -
Discovering Biomarkers for Asymptomatic Tuberculosis via Olink Proteomics and Machine Learning
2025-11-24 -
Application of machine learning in analysing flexible plate governed by the Mooney Rivlin model
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Reverse design of cylindrical shell metasurface structures based on machine learning methods
2025-11-24 -
Applied machine learning for adiabatic gas–liquid flow pattern prediction in small diameter circular tubes: Effect of dimensionality reduction
2025-11-24 -
Machine learning integrated approach for modeling crop production in Bangladesh
2025-11-24 -
Evaluating generalization of arm movement identification using machine learning: From structured to semi-structured environments
2025-11-24 -
Predicting the surface tension of mixed surfactant systems through theory and machine learning
2025-11-24 -
Machine learning models to predict hot carcass weight of Angus feedlot cattle at induction in commercial conditions
2025-11-24 -
Reconstructed precipitation isotopes in China during the past six decades based on machine learning
2025-11-24 -
Machine learning modelling of sonochemical systems using physically-derived dimensionless groups
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Agricultural drought forecasting using remote sensing: A hybrid modeling framework by integrating wavelet transformation and machine learning techniques
2025-11-24 -
Pressure-induced structural changes in liquid SiO2 investigated by molecular dynamics and machine learning approaches
2025-11-24 -
Particle number emissions on mountainous roads: machine learning insights from on-road testing
2025-11-24 -
Precision nitrogen management for maize based on crop modeling, remote sensing and machine learning
2025-11-24 -
Machine Learning surrogate models for Hertzian contact stress prediction in gear design: A comparative study of multiple approaches
2025-11-20 -
Machine learning-optimized porous thermally responsive SS-PCM with switchable transparency for adaptive building envelope coatings
2025-11-20 -
Physics-informed machine learning model for peak stress prediction generated from cylindrical charges in concrete
2025-11-20 -
Bandgap prediction and design of halide double perovskites via ensemble machine learning
2025-11-20 -
Machine learning assisted chitin Extraction: Source and yield prediction from crustacean biomass using deep eutectic solvents
2025-11-20 -
High-Fidelity Machine Learning Framework for Fracture Energy Prediction in Fiber-Reinforced Concrete
2025-11-20 -
Machine learning-optimised carbon nanotube sensors for simultaneous monitoring of multiple environmental contaminants
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Enhanced grid integration through machine-learning optimized bidirectional EV chargers
2025-11-20 -
Machine learning prediction model combined with network toxicology analysis identifies potential cardiotoxic components and mechanisms among 741 pesticides
2025-11-20 -
Microparameter calibration method for concrete DEM using metaheuristic-based explainable machine learning and multi-objective optimization
2025-11-20 -
A linear-response and stretchable capacitive electronic skin integrated with machine learning for wireless health monitoring and smart robotic grasping
2025-11-20 -
Empowering econometric methods with machine learning for policy making: A comparative study in maritime transportation
2025-11-20 -
Integrating advanced frequency-domain signal processing with machine learning for accurate leak detection in subsurface CO2 storage
2025-11-20 -
Body movements as biomarkers: Machine Learning-based prediction of HPA axis reactivity to stress
2025-11-20 -
The impact of oxides of cementitious materials on mortar strength: A machine learning perspective
2025-11-20 -
A feature engineering technique for enhancing the generalization of machine learning models in estimating crop evapotranspiration
2025-11-20 -
Machine learning of microstructure–property relationships in materials leveraging microstructure representation from foundational vision transformers
2025-11-20 -
Optimization of genomic breeding value prediction for growth traits in Rongchang pigs through machine learning techniques
2025-11-20 -
Biofuel consumption and emission prediction for harbour craft using Machine learning methods
2025-11-20 -
Modelling over-reading correction factors for ultrasonic flow meters in wet gas measurement using advanced regression and machine learning techniques
2025-11-20 -
Explainable machine learning-based cardiovascular disease prediction in patients with hypertension: Algorithm comparison and SHapley Additive exPlanations (SHAP) analysis
2025-11-20 -
A comparative study of machine learning for particle morphology discrimination using interferometric particle imaging
2025-11-18 -
Unveiling the adsorption behaviour of nitrogen-doped porous carbons (NDPCs) towards carbon dioxide capture using machine learning techniques
2025-11-18 -
Development and Validation of an Interpretable Machine Learning Model for Predicting Hospital Mortality in ICU-Admitted Ovarian Cancer Patients: A Multicenter Study
2025-11-18 -
An improved machine learning strategy for shear analysis in structural concrete based on the Newton’s method and the solvability region of the steel constitutive model
2025-11-18 -
Prediction of fire-induced steel beam deformation using machine learning algorithms
2025-11-18 -
Comparative analysis and evaluation of PEMFC machine learning surrogates by bridging CFD and experimental data
2025-11-18 -
Identification of airfoil stall using airborne acoustic signature under room conditions by machine learning
2025-11-18 -
Source apportionment of on-site paper-based combustion residues through interpretable machine learning and HS-GC-IMS fingerprint analysis in public security
2025-11-18 -
Prediction of luminescence lifetimes of Mn4+/Eu3+ doped phosphors based on interpretable machine learning
2025-11-18 -
Machine learning-assisted aroma profile prediction in tomato puree based on flavoromics
2025-11-18 -
Development and Validation of a Multimodal Machine Learning Model Integrating Ultrasound Imaging and Serum Biomarkers for Vulnerable Carotid Plaque Prediction
2025-11-18 -
Prediction of compressive and flexural strengths of ultra-high-performance concrete (UHPC) using machine learning for various fiber types
2025-11-18 -
Modeling strategies for hydrogen reduction of high-purity metals: From DFT to ReaxFF and machine learning
2025-11-18 -
Buckling failure prediction of storage tanks in fire scenarios: a machine learning approach
2025-11-18 -
Predicting compressive strength of CCFST columns with core concrete defects: An interpretable and unified machine learning approach
2025-11-18 -
Machine learning-assisted photoelectrochemical/fluorescence dual-mode sensor for ultra-sensitive glyphosate detection
2025-11-18 -
Optimization of Gompertz model with machine learning towards applicable and accurate simulation of anaerobic digestion
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Remaining useful life prediction for lithium-ion battery based on hybrid machine learning with Wiener process
2025-11-18 -
Boosting transfer entropy estimation accuracy with machine learning for finite-length sequences
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Machine learning predictive model based on the corneal biomechanics of clinical data
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FedTinyMed: Federated learning enabled tiny multi task machine learning model for smart healthcare monitoring for IoMT
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Transparent and reliable construction cost prediction using advanced machine learning and explainable AI
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Predicting thermal comfort of healthcare workers in hot environments based on machine learning algorithms
2025-11-18 -
Interpretability and identification of dimorphism in morphological indexes of Larimichthys crocea based on machine learning models
2025-11-18 -
Empirical tropospheric zenith wet delay models with strong generalization capability based on a robust machine learning fusion algorithm
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Machine learning-guided engineering of T7 RNA polymerase and mRNA capping enzymes for enhanced gene expression in eukaryotic systems
2025-11-18 -
Tree-based machine learning model to predict the performance of heavy metal removal by sulfate-reducing bacteria
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Efficient NOMA user detection in 5G using machine learning
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Ultrasound-based multimodal machine learning nomogram for predicting deep vein thrombosis after total knee arthroplasty
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Exploring explainable machine learning techniques to aid dysphagia risk identification: A feasibility study
2025-11-18 -
Advances in Power Consumption Model for Data Centers: Analytical Formulas vs. Machine Learning Models
2025-11-18 -
A Causal-Transformer Based Meta-Learning Method for Few-Shot Fault Diagnosis in CNC Machine Tool Bearings
2025-11-17 -
Optimizing dielectric properties of corannulene nanomaterial for enhanced performance of next-generation electric vehicle batteries: A Machine learning and Nelder-Mead optimization approach
2025-11-17 -
Prediction and optimization of efficient ship design particulars through advanced machine learning approaches
2025-11-17 -
A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios
2025-11-17 -
Comparing a machine learning approach with traditional methods for forensic source attribution using chromatographic data
2025-11-17 -
Projecting harmful algal blooms in North Biscayne Bay using machine learning and bias-corrected climate scenarios
2025-11-17 -
Solar photovoltaic power generation using machine learning considering weather conditions: A case study of Biret, Mauritania
2025-11-17 -
Explainable machine learning driven predictive modeling of biochar-based cementitious composite
2025-11-17 -
An integrated machine learning framework for the early diagnosis of hypertension disease
2025-11-17 -
Optimizing Microstrip Patch Antenna Performance: Leveraging Machine Learning for Comparative Analysis of Antenna Di-mensions and Slot Structures
2025-11-17 -
Sex estimation using machine learning algorithms and morphometric assessment of the sella turcica related parameters
2025-11-17 -
Machine learning-driven discovery of hard magnetic materials using high-throughput computation and screening
2025-11-17 -
A transfer learning approach for chatter detection in multi-posture robot machining
2025-11-17 -
Machine learning-based prediction of optimal tilt angles for monofacial and bifacial PV systems
2025-11-17 -
A novel stacking-based ensemble learning framework for thermal error prediction of machine tool feed systems
2025-11-17 -
Assessing the potential of water cloud model and machine learning algorithms in estimating leaf area index of wheat at different growth stages using Sentinel-1 SAR data
2025-11-17 -
Machine learning using clinical variables to screen for depression and anxiety in people with early multiple sclerosis
2025-11-17 -
Predictive modeling of foreign exchange trading signals using machine learning techniques
2025-11-17 -
Performance of machine learning algorithms in predicting the need for surgical fixation in pediatric craniomaxillofacial trauma
2025-11-17 -
Kernel-based machine learning intrusion detection systems for ICMPv6 DDoS detection
2025-11-17 -
Co-gasification of coal, biomass with waste plastic in a fluidized bed: Machine learning model optimized and gasification scheme
2025-11-15 -
A strategy combining interpretable machine learning, NSGA-III optimization model and strengthening and toughing mechanism to predict microstructure for rolled AZ31 magnesium alloy sheets
2025-11-15 -
Accelerated discovery of hydrogen storage hydride perovskites: A combined machine learning and first-principles approach
2025-11-15 -
Understanding and detection of process instabilities in wire arc directed energy deposition additive manufacturing using meltpool imaging and machine learning
2025-11-15 -
Identification of stem rust-associated candidate genes in wheat (Triticum aestivum L.) via RNA-sequencing, cluster analysis, weighted gene co-expression networks, and machine learning models
2025-11-15 -
Complete Stribeck curve prediction by applying machine learning to acoustic emission data from a lubricated sliding contact
2025-11-15 -
A cutting mechanics-based machine learning modeling method to discover governing equations of machining dynamics
2025-11-15 -
Reconstruction of Existing Buildings for Evacuation Assessment under Emergency Situations Using 3D Gaussian Splatting and Machine Learning
2025-11-15 -
Simultaneous electrochemical detection of Gd, Dy, and Eu using boron-doped diamond electrode combined with machine learning
2025-11-15 -
Machine learning for biodiversity: UAV-based flower detection as an indirect proxy for bee abundance
2025-11-15 -
Machine learning predicts stablecoin
2025-11-15 -
Hybrid pillar stress analysis: Integrating numerical modelling, machine learning, and geostatistics for improved stability in hardrock mining
2025-11-15 -
Infrared window properties of AB₂C₄ (A=Zn; BIn, Ga; CTe, Se) materials via machine learning and density functional theory
2025-11-15 -
A machine learning prediction framework for damping performance of silicone rubber based on molecular dynamics and VAE-OK data augmentation
2025-11-15 -
Energy-minimizing generalized node network with machine learning optimization for complex fracture problems
2025-11-15 -
Machine-learning-assisted pulse design for state preparation in a noisy environment
2025-11-15 -
Predicting wind-driven rain amount on building facade based on machine learning models
2025-11-15 -
Operating condition invariant representation learning for machine prognostics
2025-11-15 -
Machine learning-based adaptive large neighborhood search algorithm for the integrated vessel scheduling and speed optimization problem in the compound channel
2025-11-08 -
Temperature prediction and regulation for complex curved parts during automated fiber placement combining FE simulation and machine learning
2025-11-08 -
Machine learning-driven porosity prediction: A case study from the Cretaceous Mata Series, Canterbury Basin, New Zealand
2025-11-08 -
Explainable machine learning model for classifying vehicle-impact damage of reinforced concrete bridge columns
2025-11-08 -
A novel meta-learning-based spatio-temporal modeling approach for thermal error prediction of multiple machine tools with few labeled data
2025-11-08 -
Predicting the Solubility of Lignin via Machine Learning
2025-11-08 -
Traffic sign detection and recognition in Jordan based on machine learning and deep learning
2025-11-08 -
SMOTE-Optimized Machine Learning Framework for Predicting Retention in Workforce Development Training
2025-11-08 -
Influence of exchange–correlation functional choices on machine learning potential accuracy in the coupled PWDFT-DeePMD framework
2025-11-08 -
Machine learning as a surrogate for FEM: Predicting mechanical properties of tyres
2025-11-08 -
Advancing biogeographical ancestry predictions through machine learning
2025-11-08 -
Performance comparison of sampling techniques with machine learning algorithms for churn prediction in telecommunication
2025-11-08 -
Sophisticated bio-sensing architecture for anxiety identification using enhanced machine learning techniques
2025-11-08 -
Convertible bond return predictability with machine learning
2025-11-08 -
Machine learning algorithms for predictive maintenance in milling operations
2025-11-08 -
Machine Learning Approaches for Predicting Diesel Engine Emissions Using Waste Tire Pyrolysis Oil– Hydrotreated Vegetable Oil Blends
2025-11-08 -
A new method for predicting carbon emissions in energy industry based on CEEMD wavelet denoising and hybrid machine learning
2025-11-08 -
A few-shot explainable machine learning based framework for designing impact resistance in composite sandwich structures
2025-11-08 -
Machine learning-based design for high-strength steel tubular section columns
2025-11-08 -
Predicting bond risk premiums with machine learning: Evidence from China
2025-11-08 -
Domain knowledge in artificial intelligence: Using conceptual modeling to increase machine learning accuracy and explainability
2025-11-08 -
Extracting gully using machine learning and deep learning algorithms in the loess hilly and gully region in China
2025-11-08 -
Evaluating machine learning models for predicting the storage performance of polypyrrole-based supercapacitor electrodes
2025-11-08 -
Construction and application of machine learning models to screen functional ingredients for alcohol metabolism and its mechanism research
2025-11-08 -
Predicting dislocation patterns and discovering the law of similitude: Machine learning based on fully reversed fatigue of FCC metals
2025-11-08 -
Predicting the future risk of developing type 2 diabetes in women with a history of gestational diabetes mellitus using machine learning and explainable artificial intelligence
2025-11-08 -
Machine learning in the Australian equity market
2025-11-08 -
Hybrid machine learning model for the prediction of anaemia
2025-11-07 -
A black-box attack method of machine learning algorithms based on quantum autoencoders
2025-11-07 -
Complex network based machine learning method for predicting circuit timing
2025-11-07 -
Physics-informed ensemble machine learning for dynamic water quality prediction in water distribution systems
2025-11-07 -
Private linear equation solving: An application to federated learning and extreme learning machines
2025-11-07 -
Predicting negative self-rated oral health in adults using machine learning: A longitudinal study in Southern Brazil
2025-11-07 -
Prediction and Sensitivity Analysis of Foam Concrete Compressive Strength Based on Machine Learning Techniques with Hyperparameter Optimization
2025-11-07 -
Machine learning and WGCNA reveal the PVT1/miR-143–3p/CDK1 ceRNA axis as a key regulator in NSCLC
2025-11-07 -
Accelerating photovoltaic polymer discovery via machine learning and synthetic accessibility analysis
2025-11-07 -
An Analytics Framework for Healthcare Expenditure Forecasting with Machine Learning
2025-11-07 -
Using machine learning classifiers together with discrimination diagrams for validation of rock classification labels
2025-11-07 -
Machine learning-enhanced prediction of size-resolved gas-particle partitioning quotient: Implication for health risk assessment of polycyclic aromatic hydrocarbons
2025-11-07 -
Gait and sensory parameters based machine learning classification for detecting cognitive impairment in older adults
2025-11-07 -
Estimating the creep rupture time of GFRP bars using machine learning
2025-11-07 -
Identifying risk factors of post–COVID-19 conditions with machine learning and deep learning algorithms
2025-11-07 -
Multimodal Machine Learning-Based Technical Failure Prediction in Patients Undergoing Transcatheter Aortic Valve Replacement
2025-11-07 -
Machine learning-assisted identification of core flavor compounds and prediction of core microorganisms in fermentation grains and pit mud during the fermentation process of strong-flavor Baijiu
2025-11-07 -
Machine learning-assisted BMOFs-derived 1D NiCo2O4 nanozyme photoelectrochemical detection of RBP4 for type 2 diabetes diagnosis
2025-11-07 -
An early detection of autism spectrum disorder using machine learning
2025-11-07 -
A novel grey-box approach to tool wear prediction using machine learning and finite element methods
2025-11-06 -
High-Fidelity prediction of radioisotope production Cross-Sections using Bayesian neural networks and Auto Machine learning
2025-11-06 -
A hybrid physics-informed machine learning framework for water cut prediction in waterflooding reservoirs
2025-11-06 -
Data-driven inverse design of graphene Kirigami with negative Poisson's ratio using machine learning and genetic algorithms
2025-11-06 -
Beyond the surface: Quasi-SMILES machine learning approaches for precise estimation of organic sorption
2025-11-06 -
Methodologies developed for dataset preparation and the interpretability of machine learning algorithms used for the prediction of crack growth rate
2025-11-06 -
Machine learning approach to identify significant genes and classify cancer types from RNA-seq data
2025-11-06 -
Calibrating machine learning with multi-band photometry: Resolving parameter degeneracies in contact binary NSVS 4803568
2025-11-06 -
Application of Machine Learning Models for Classifying Wood Surface Defects Using Near-Infrared Spectroscopy
2025-11-06 -
Predicting return to sport after multiligament knee injuries using machine learning: development and internal validation of a clinical algorithm
2025-11-06 -
Machine learning for air quality forecasting: Insights from five provinces of Rwanda
2025-11-06 -
A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma
2025-11-06 -
A high performance assimilation of surface soil moisture based on a hybrid framework of machine learning and physical hydrological model
2025-11-06 -
Authentication of Linderae Radix through plant metabolomics coupled with a machine learning-enhanced in situ hyperspectral imaging approach
2025-11-06 -
Applications of machine learning algorithms to a sandy beaches ecological database: an empirical and critical comparison
2025-11-06 -
Machine learning-assisted computation of water activity for ionic liquid-based aqueous ternary elements
2025-11-06 -
Stable dioxin-linked metallophthalocyanine covalent organic frameworks as trifunctional electrocatalysts for overall water splitting and oxygen reduction: A combining density functional theory and machine learning study
2025-11-06 -
Beyond Cox models: Assessing the performance of machine-learning methods in non-proportional hazards and non-linear survival analysis
2025-11-06 -
Physics-informed machine learning meets renewable energy systems: A review of advances, challenges, guidelines, and future outlooks
2025-11-06 -
Design biomedical β-Ti alloys with exceptional strength-ductility balance via domain knowledge-based machine learning
2025-11-06 -
Bonding Time Prediction of AA7075-T6 for Extrusion-Based Additive Manufacturing: Machine Learning and Mathematical Modelling
2025-11-06 -
SmartHeart: A conceptual framework for explainable machine learning in cardiovascular risk prediction
2025-11-06 -
Leveraging explainable AI framework for predictive modeling of products of microwave pyrolysis of lignocellulosic biomass using machine learning
2025-11-06 -
Machine learning-assisted identification of new psychoactive substances in biological sample using miniaturized ambient mass spectrometer
2025-11-06 -
A comparative analysis of machine learning models based on weighted input parameters for V2V path loss prediction in highway, rural, suburban, and urban environments
2025-11-06 -
Identification of key predictors of acute GVHD in pediatric acute Leukemia using machine learning methods
2025-11-06 -
Machine learning-based algorithm selection for irregular three-dimensional packing in additive manufacturing
2025-11-06 -
Machine learning and remote sensing for modeling groundwater storage variability in semi-arid regions
2025-11-06 -
A Hybrid Framework for Symptom-Based Nerve Weakness Detection Using Machine Learning and Rule-Based Methods
2025-11-04 -
Artificial intelligence, machine learning and omic data integration in osteoarthritis
2025-11-04 -
Predicting autistic traits, anxiety and depression symptoms using camouflaging autistic traits questionnaire (CAT-Q-ES): A machine learning study
2025-11-04 -
Machine learning powered profiling: Rapid identification of Klebsiella Pneumoniae drug resistance from MALDI-TOF MS
2025-11-04 -
Plasma electrolytic oxidation (PEO) coatings on AZ31 magnesium alloy: An interpretable machine-learning study of nano-SiC and process parameters
2025-11-04 -
Using machine learning models to predict vaccine hesitancy: a showcase of COVID-19 vaccine hesitancy in rural populations during the pandemic
2025-11-04 -
Regulating humidification-dehumidification systems via machine learning based on quasi-digital twin
2025-11-04 -
Detonation reaction zone width of CL-20-based aluminized explosive: machine learning prediction, theoretical calculation, and experimental characterization
2025-11-04 -
Soft sensing of biological oxygen demand in industrial wastewater using machine learning models
2025-11-04 -
Intelligent detection and analysis of motors based on signal extraction and improved machine learning
2025-11-04 -
Diagnostic and Economic Evaluation of MALDI-TOF MS with Machine Learning for Screening of Johne's Disease from Dairy Cow Serum
2025-11-04 -
Accelerated discovery of functional dyes via machine learning and chemical space exploration
2025-11-04 -
Estimating market liquidity from daily data: Marrying microstructure models and machine learning
2025-11-04 -
Exploring novel Ni-Mn-X based magnetocaloric materials via machine learning with physical descriptors
2025-11-04 -
Unveiling Renaissance Drawing Techniques: A Multimodal Machine Learning Approach to the Analysis of Giulio Romano’s Amazzonomachia
2025-11-04 -
Advancing groundwater vulnerability assessment to nitrate contamination: a comprehensive evaluation of index-based, statistical and machine learning approaches with sensitivity analysis
2025-11-02 -
Prediction of geothermal heat flow for sustainable energy applications with sparse geological data using machine learning
2025-11-02 -
2025-10-27 Structure-activity landscapes and synthetic accessibility in machine learning-guided organic semiconductor discovery
2025-10-27https://doi.org/10.1016/j.jphotochem.2025.116877
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