Boosting Cybersecurity: A Zero-Day Attack Detection Approach Using Equilibrium Optimiser with Deep Learning Model
2026-01-28
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This section is dedicated to providing you with rigorous and refined academic literature recommendations.
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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
2025-12-24 -
A machine learning framework for screening phenyl phthalimide derivatives as corrosion inhibitors based on dataset generated by DFT and molecular dynamics simulations
2025-12-23 -
Creating a guide to identify patients who may leave without being seen: A machine learning approach
2025-12-23 -
Comparison of machine learning and human prediction to identify trauma patients in need of hemorrhage control resuscitation (ShockMatrix study): a prospective observational study
2025-12-23 -
Design and research of English material archives management system based on machine learning technology
2025-12-23 -
Fusion of satellite and gauge precipitation observations through coupling spatio-temporal properties with tree-based machine learning
2025-12-23 -
Atrial fibrillation drug structural analysis and predictive modeling employing machine learning methods
2025-12-22 -
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
Read more about Comprehensive chemometric and machine learning methods for determination of synthetic dyes adulteration in ceylon tea via NIR spectroscopy and hyperspectral imaging -
Predicting restoration failures in primary and permanent teeth – A machine learning approach
2025-12-22 -
Quantitative relationships between structure characteristics and mass transfer for chromatographic resin by combining digital material techniques and machine learning algorithms
2025-12-22 -
Machine learning prediction of electric field-dependent absorption coefficient in CdTe/CdS quantum dots
2025-12-22 -
Trace-level discrimination and detection of polycyclic aromatic hydrocarbons via hybrid photonic-plasmonic SERS sensors integrated with machine learning algorithms
2025-12-21 -
Data-driven optimization of polycyclic aromatic hydrocarbons removal by organic composites from aquatic environments: Integrating machine learning with theoretical calculations
2025-12-21 -
Machine learning-powered Raman spectroscopy for rapid/timely/low-cost early diagnosis and monitoring of diabetic nephropathy
2025-12-21 -
A new perspective on estimating Chlorophyll-a concentrations using machine learning and remote sensing: a case study of New York state lakes
2025-12-21 -
Metrics for Evaluating Stochastic Outputs in Machine Learning Models: Addressing Accuracy and Uncertainty
2025-12-21 -
Machine learning-assisted biomass colorimetric dipsticks for portable clinical nephropathy diagnosis by using smart mobile terminal
2025-12-20 -
A physics-informed machine learning framework for speed-flow prediction: Integrating an S-shaped traffic stream model with deep learning models
2025-12-20 -
Optimizing foamed glass production with machine learning
2025-12-20 -
Machine learning insights into groundwater demand under changing surface water availability: Murray-Darling Basin, Australia
2025-12-20 -
Metaheuristic-optimized machine learning models for accurate prediction of limestone calcined clay cement (LC3) compressive strength
2025-12-20 -
Rough set machine learning informed decision rules for effective adsorption of methylene blue and Congo red dyes by hydrochar
2025-12-19 -
Detecting optimal gaze behavior of successful basketball free throwing via machine learning system
2025-12-19 -
Machine learning-based framework for assessing the financial viability of decentralized rainwater harvesting systems
2025-12-19 -
Machine learning methods in microscopic pedestrian and evacuation dynamics simulation: a comparative study
2025-12-19 -
Ultra-sensitive terahertz biochemical detector via gold–graphene synergistic metastructures enhanced by machine learning optimization
2025-12-19 -
Development of a technique to identify μm-sized organic matter in asteroidal material: An approach using machine learning
2025-12-19 -
Applying machine learning to safe vascular anastomosis
2025-12-19 -
Optimization of sootblower operation based on machine learning to improve efficiency and NOx reduction
2025-12-19 -
Sustainable environmental education: Some machine learning algorithms in the classification of sustainable environmental attitudes
2025-12-19 -
Acid leaching of copper from copper slag based on machine learning analysis
2025-12-19 -
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
2025-12-18 -
Predicting wildfire occurrences in Portugal using machine learning classification models
2025-12-18 -
Predicting in vitro assays related to liver function using probabilistic machine learning
2025-12-18 -
Evaluating ensemble machine learning and feature optimization for mapping peatland vegetation using UAS-derived data
2025-12-18 -
Sensors prioritisation for hydrological forecasting based on interpretable machine learning
2025-12-18 -
Machine learning based on metabolomics to discriminate Wuyi rock tea production areas and “rock flavor” substances
2025-12-18 -
Multi-objective concrete mix design for sulfate attack resistance using interpretable machine learning predictions
2025-12-18 -
Progress in CP violating top-Higgs coupling at the LHC with Machine Learning
2025-12-18 -
Data-driven modeling of syngas yield from biomass pyrolysis using hybrid tree-based machine learning algorithms
2025-12-18 -
Biomimetic SERS platform with machine learning for sensitive detection of pesticides in complex food matrices
2025-12-18 -
Prediction of measuring instrument calibration interval based on risk priority number and reliability using machine learning
2025-12-17 -
Predicting rare earth extraction efficiency with organophosphorus ligands: A data-driven machine learning approach
2025-12-17 -
Machine learning to predict phase transformation products and their morphologies – Application in design of lean high strength steel
2025-12-17 -
Machine learning–enabled optimization of a direct air capture system integrated with enhanced oil recovery
2025-12-17 -
Correlation of environmental variables with Heteromastus filiformis habitat density: Gap-filling and machine learning approaches
2025-12-17 -
Prediction of hydrogen production process by glycerol steam reforming using machine learning models
2025-12-17 -
Bionic vascular fin latent heat system synergistically enhances heat Transfer: Parameter optimization and prediction of pulsating flow and Nanofluid based on machine learning
2025-12-17 -
Homogenization of n-component composites with stochastic interface defects using machine learning approach
2025-12-17 -
Application of contrast-enhanced CT-driven multimodal machine learning models for pulmonary metastasis prediction in head and neck adenoid cystic carcinoma
2025-12-17 -
Machine learning based prediction for China's household cooking energy transition under the Shared Socioeconomic Pathways
2025-12-17 -
Enhancing the reliability of social vulnerability assessment to natural hazards through combined machine learning methods: A case study in Vietnam
2025-12-17 -
Retention time prediction of forensic compounds using ensemble machine learning and molecular descriptors
2025-12-17 -
Predictive modelling of tensile strength and hardness of microwave assisted AA7075/Sic composite through supervised machine learning algorithms
2025-12-17 -
Machine learning-assisted hyperspectral reflectance analysis for non-destructive detection of clothianidin residues in tea chrysanthemum
2025-12-17 -
Smart sensors, smart calibration: Applications in machine learning for coal dust monitoring
2025-12-17 -
Predictors of childhood vaccination uptake in England: an explainable machine learning analysis of regional data (2021–2024)
2025-12-17 -
Chaotic variational auto encoder-based adversarial machine learning
2025-12-17 -
Numerical modelling in assisting machine learning for the enhanced condition monitoring of rotors
2025-12-17 -
pH acidification in the Red Sea: A machine learning-based validation study
2025-12-17 -
Construction of a machine learning-based prediction model for rice varieties—cooking—mastication
2025-12-17 -
A data-driven machine learning approach toward an improved maize crop production
2025-12-17 -
Comparing the Impacts of Urban Form on Urban-Rural Temperature and Human-Perceived Temperature Differences Using Interpretable Machine Learning Models
2025-12-17 -
Machine learning interatomic potential for finite-size graphene
2025-12-17 -
Blaschke learning machine: A novel and efficient continual learning classifier toward intelligent fault diagnosis
2025-12-17 -
Machine learning prediction for thermal–hydraulic parameters of semicircular-fin fuel bundle in lead–bismuth fast reactor
2025-12-17 -
Predicting oxcarbazepine-induced hyponatremia in adult epilepsy patients: A multicenter machine learning analysis using real-world CDM data
2025-12-17 -
Accelerated and efficient modeling of low-κ organosilicate glass with the M3GNet machine learning interatomic potentials
2025-12-17 -
Machine learning fosters geophysical inversion for quantified geothermal parameters
2025-12-17 -
Prediction of compressive strength of fly ash-based geopolymers concrete based on machine learning
2025-12-17 -
Design and prediction of soft-to-hard transitions using bioinspired hierarchical-gradient designs and hybrid stacking machine learning
2025-12-17 -
Predicting the risk of COVID-19 among adult patients with diabetes: A machine learning approach
2025-12-17 -
Physical metallurgy-guided machine learning for strength-plasticity optimization in aluminum alloys
2025-12-17 -
A machine learning framework for soft skills assessment: Leveraging serious games in higher education
2025-12-17 -
Application of machine learning in radiolarian taxonomy: A case study on Early Cretaceous Turbocapsula lineage
2025-12-17 -
Machine learning to predict mitochondrial diseases by phenotypes
2025-12-17 -
Machine Learning Model for Predicting Sertraline-like Activities and Its Impact on Cancer Chemosensitization
2025-12-17 -
Kernel based physics-informed machine learning for approximating CEV model under nonlinear volatility regimes in real-world financial environments
2025-12-17 -
Implementing machine learning for predictive analytics: An empirical study of employee turnover
2025-12-17 -
Machine learning for predicting thrombotic recurrence in antiphospholipid syndrome
2025-12-17 -
Machine learning-driven dielectric constant prediction for rock-salt structured microwave dielectric ceramics
2025-12-17 -
Simulating and optimizing the integrating process of anaerobic digestion and aerobic composting using machine learning
2025-12-17 -
The counterfactual challenge: How machine learning can enhance policy evaluation
2025-12-17 -
PMTFIM: Integrating machine learning with nutrient balance theory to estimate multi-stage paddy fertilization information at field scale over large regions
2025-12-17 -
Toxicity prediction of insecticides and pesticides via machine learning approach
2025-12-17 -
Geographically weighted machine learning for predicting the spatial distribution of groundwater nitrate nitrogen (NO3-N) concentration
2025-12-17 -
Prediction model for corrosion resistance of carbonated recycled aggregate concrete based on machine learning
2025-12-17 -
Implementation of Machine Learning sampling techniques for initial geometry prediction in heavy ion collision experiment
2025-12-17 -
The formation and penetration characteristics of underwater shaped charge jets at varying depths: experiment, simulation, and machine learning
2025-12-17 -
Instantaneous power prediction for industrial robots using tree-based machine learning methods
2025-12-17 -
Kinetic analysis and prediction modeling by advanced machine learning of pyrolysis of dairy cattle manure from conventional and organic systems
2025-12-17 -
AI-driven seismic optimization of outrigger systems in high-rise buildings: A machine learning framework for enhanced performance in earthquake-prone regions
2025-12-17 -
Predicting literacy intervention responsiveness using semi-supervised machine learning
2025-11-30 -
Development of a litho-structural map for the Upper Mereb area, Eritrea, using multi-source remote sensing data and machine learning models
2025-11-30 -
Quantitative relationships between structure characteristics and mass transfer for chromatographic resin by combining digital material techniques and machine learning algorithms
2025-11-30 -
Three-Dimensional Radiomics and Machine Learning for Predicting Postoperative Outcomes in Laminoplasty for Cervical Spondylotic Myelopathy: A Clinical-Radiomics Model
2025-11-30 -
Data-driven optimization of polycyclic aromatic hydrocarbons removal by organic composites from aquatic environments: Integrating machine learning with theoretical calculations
2025-11-30 -
Identification of Novel Biomarkers for Hypertension and Ventricular Remodeling Based on Transcriptomics and Machine Learning
2025-11-30 -
Impact of drought on de facto reuse and water quality in Lake Mead: Insights from hydrodynamic modeling versus machine learning
2025-11-30 -
Dynamic Prediction of Postprandial Glycemic Response and Personalized Dietary Interventions Based on Machine Learning
2025-11-30 -
A fast seismic assessment technique for reinforced concrete buildings: Machine learning-based Hassan Index
2025-11-30 -
Demand-driven predictive tailoring of anisotropic yield surfaces in origami metamaterials via machine learning
2025-11-30 -
Predicting ammonia solubility in ionic liquids using machine learning models based on critical properties
2025-11-30 -
Enhancing big data analysis in IoT applications and optimizing the performance of machine learning models using hybrid dimensionality optimization approach
2025-11-30 -
Machine learning methods in microscopic pedestrian and evacuation dynamics simulation: a comparative study
2025-11-30 -
Machine learning-driven phase prediction and corrosion behavior of (CoCrNi)(100-x-y) AlxTiy high-entropy alloys in Ringer's solution
2025-11-30 -
What influence digital inclusive finance from policy tones? Based on machine learning
2025-11-30 -
Acid leaching of copper from copper slag based on machine learning analysis
2025-11-30 -
Prediction of mechanical properties of 16Mn large tube plates based on machine learning
2025-11-30 -
Hybrid machine learning and soft computing methods for predicting and optimizing natural convection in a C-shaped cavity with double diffusion effects
2025-11-30 -
Application of explainable machine learning to characterizing apatite fertility in porphyry-skarn deposits
2025-11-30 -
Predicting radiation-acute esophagitis via machine learning algorithms
2025-11-30 -
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
2025-11-30 -
Progress in CP violating top-Higgs coupling at the LHC with Machine Learning
2025-11-30 -
Decoding weight-gain patterns in tungsten-containing refractory high-entropy alloys under high-temperature oxidation through machine learning
2025-11-30 -
Using machine learning with supplemented NC code to predict machining energy
2025-11-30 -
Developing safety performance functions incorporating pavement roughness using Poisson regression and Machine learning models on Jordan’s Desert Highway
2025-11-30 -
Development and evaluation of neighborhood social risk indices for surgery using outcome-specific machine-learning models
2025-11-30 -
Predicting filter cake thickness in drilling fluids using machine learning techniques
2025-11-30 -
Machine learning-optimized jet-enhanced immersion liquid cooling for high-power data centers
2025-11-30 -
Machine learning for adsorption-related parameters prediction of electronic specialty gases: DFT-based dataset construction and balanced data augmentation
2025-11-30 -
Integrating machine learning with electromechanical impedance for non-destructive detection of bolt looseness in steel structures
2025-11-30 -
Machine Learning in Indoor Localization Prediction Using Received Signal Strength Indicator and Wi-Fi Network
2025-11-30 -
Exploring maximum likelihood and Bayesian approaches for two-dimensional image restoration: A machine learning perspective
2025-11-30 -
Machine learning-based plasma-derived extracellular vesicle signatures for digestive system cancers prediction
2025-11-30 -
MegaEye: Applying multiple machine learning approaches to identify oral compounds with ocular bioactivity
2025-11-30 -
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
2025-11-30 -
A machine learning-based generative design approach for rapid topology optimization of microchannel heat sinks
2025-11-30 -
Intelligent assessment of habitat quality based on multiple machine learning fusion methods
2025-11-30 -
Development of a machine learning-based risk prediction model for perioperative neurocognitive disorders
2025-11-30 -
Classification of toxic element accumulation in rice grains using optimized machine learning models: A comparative study
2025-11-30 -
Democratizing interactivity: An overview of interfaces for multimedia machine learning
2025-11-30 -
Real-time classification of Serengeti wildebeest behaviour with edge machine learning and a long-range IoT network
2025-11-30 -
CVaR-based risk parity model with machine learning
2025-11-30 -
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
2025-11-30 -
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
2025-11-25 -
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
2025-11-25 -
Tunable graphene-based metamaterial thermal absorber design for thermal sensing applications with behaviour prediction using machine learning
2025-11-25 -
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
2025-11-24 -
Application of machine learning in python for temporal groundwater level prediction
2025-11-24 -
HyperGraph-based Minimax Probability Machines for Semi-Supervised Learning
2025-11-24 -
Exploring the coupling of ecosystem services and human well-being: evidence from Chinese cities through interpretable machine learning
2025-11-24 -
Beyond the last surprise: Reviving PEAD with machine learning and historical earnings
2025-11-24 -
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
2025-11-24 -
Machine learning-driven insights into the microstructure and properties of high-entropy alloys
2025-11-24 -
Moisture content prediction in durian husk biomass via near infrared spectroscopy coupled with aquaphotomics and explainable machine learning
2025-11-24 -
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
2025-11-24 -
Machine learning-based damage classification and comparative life cycle assessment of Origami Pill Bug for emergency shelters
2025-11-24 -
Roughness-informed machine learning – A call for fractal and fractional calculi
2025-11-24 -
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
2025-11-24 -
Sysmon event logs for machine learning-based malware detection
2025-11-24 -
Advancing ovarian cancer outcomes with CTGAN-enhanced hybrid machine learning approach
2025-11-24 -
Material property prediction of perovskite oxides based on machine learning
2025-11-24 -
A machine learning based calibration method for differential scanning calorimetry
2025-11-24 -
A machine learning assisted approach to classify rose species and varieties with laser induced breakdown spectroscopy
2025-11-24 -
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
2025-11-24 -
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
2025-11-24 -
Machine learning from a “Universe” of signals: The role of feature engineering
2025-11-24 -
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
2025-11-24 -
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
2025-11-24 -
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
2025-11-20 -
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
2025-11-18 -
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
2025-11-18 -
Machine learning predictive model based on the corneal biomechanics of clinical data
2025-11-18 -
FedTinyMed: Federated learning enabled tiny multi task machine learning model for smart healthcare monitoring for IoMT
2025-11-18 -
Transparent and reliable construction cost prediction using advanced machine learning and explainable AI
2025-11-18 -
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
2025-11-18 -
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
2025-11-18 -
Efficient NOMA user detection in 5G using machine learning
2025-11-18 -
Ultrasound-based multimodal machine learning nomogram for predicting deep vein thrombosis after total knee arthroplasty
2025-11-18 -
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
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Machine learning for air quality forecasting: Insights from five provinces of Rwanda
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A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma
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A high performance assimilation of surface soil moisture based on a hybrid framework of machine learning and physical hydrological model
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Authentication of Linderae Radix through plant metabolomics coupled with a machine learning-enhanced in situ hyperspectral imaging approach
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Applications of machine learning algorithms to a sandy beaches ecological database: an empirical and critical comparison
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Machine learning-assisted computation of water activity for ionic liquid-based aqueous ternary elements
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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
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Beyond Cox models: Assessing the performance of machine-learning methods in non-proportional hazards and non-linear survival analysis
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Physics-informed machine learning meets renewable energy systems: A review of advances, challenges, guidelines, and future outlooks
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Design biomedical β-Ti alloys with exceptional strength-ductility balance via domain knowledge-based machine learning
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Bonding Time Prediction of AA7075-T6 for Extrusion-Based Additive Manufacturing: Machine Learning and Mathematical Modelling
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SmartHeart: A conceptual framework for explainable machine learning in cardiovascular risk prediction
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Leveraging explainable AI framework for predictive modeling of products of microwave pyrolysis of lignocellulosic biomass using machine learning
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Machine learning-assisted identification of new psychoactive substances in biological sample using miniaturized ambient mass spectrometer
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A comparative analysis of machine learning models based on weighted input parameters for V2V path loss prediction in highway, rural, suburban, and urban environments
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Identification of key predictors of acute GVHD in pediatric acute Leukemia using machine learning methods
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Machine learning-based algorithm selection for irregular three-dimensional packing in additive manufacturing
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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
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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
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Plasma electrolytic oxidation (PEO) coatings on AZ31 magnesium alloy: An interpretable machine-learning study of nano-SiC and process parameters
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Using machine learning models to predict vaccine hesitancy: a showcase of COVID-19 vaccine hesitancy in rural populations during the pandemic
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Regulating humidification-dehumidification systems via machine learning based on quasi-digital twin
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Detonation reaction zone width of CL-20-based aluminized explosive: machine learning prediction, theoretical calculation, and experimental characterization
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Soft sensing of biological oxygen demand in industrial wastewater using machine learning models
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Intelligent detection and analysis of motors based on signal extraction and improved machine learning
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Diagnostic and Economic Evaluation of MALDI-TOF MS with Machine Learning for Screening of Johne's Disease from Dairy Cow Serum
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Accelerated discovery of functional dyes via machine learning and chemical space exploration
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Estimating market liquidity from daily data: Marrying microstructure models and machine learning
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Exploring novel Ni-Mn-X based magnetocaloric materials via machine learning with physical descriptors
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Unveiling Renaissance Drawing Techniques: A Multimodal Machine Learning Approach to the Analysis of Giulio Romano’s Amazzonomachia
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Advancing groundwater vulnerability assessment to nitrate contamination: a comprehensive evaluation of index-based, statistical and machine learning approaches with sensitivity analysis
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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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