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This section is dedicated to providing you with rigorous and refined academic literature recommendations. 

• Predicting literacy intervention responsiveness using semi-supervised machine learning

  2025-11-30

  https://doi.org/10.1016/j.ridd.2025.105090

  Read More Read more about Predicting literacy intervention responsiveness using semi-supervised machine learning

• 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

  https://doi.org/10.1016/j.rsase.2025.101722

  Read More Read more about Development of a litho-structural map for the Upper Mereb area, Eritrea, using multi-source remote sensing data and machine learning models

• Quantitative relationships between structure characteristics and mass transfer for chromatographic resin by combining digital material techniques and machine learning algorithms

  2025-11-30

  https://doi.org/10.1016/j.ces.2025.122227

  Read More Read more about Quantitative relationships between structure characteristics and mass transfer for chromatographic resin by combining digital material techniques and machine learning algorithms

• Three-Dimensional Radiomics and Machine Learning for Predicting Postoperative Outcomes in Laminoplasty for Cervical Spondylotic Myelopathy: A Clinical-Radiomics Model

  2025-11-30

  https://doi.org/10.1016/j.wneu.2025.124464

  Read More Read more about Three-Dimensional Radiomics and Machine Learning for Predicting Postoperative Outcomes in Laminoplasty for Cervical Spondylotic Myelopathy: A Clinical-Radiomics Model

• Data-driven optimization of polycyclic aromatic hydrocarbons removal by organic composites from aquatic environments: Integrating machine learning with theoretical calculations

  2025-11-30

  https://doi.org/10.1016/j.jclepro.2025.146803

  Read More Read more about Data-driven optimization of polycyclic aromatic hydrocarbons removal by organic composites from aquatic environments: Integrating machine learning with theoretical calculations

• Identification of Novel Biomarkers for Hypertension and Ventricular Remodeling Based on Transcriptomics and Machine Learning

  2025-11-30

  https://doi.org/10.1016/j.isci.2025.113668

  Read More Read more about Identification of Novel Biomarkers for Hypertension and Ventricular Remodeling Based on Transcriptomics and Machine Learning

• Impact of drought on de facto reuse and water quality in Lake Mead: Insights from hydrodynamic modeling versus machine learning

  2025-11-30

  https://doi.org/10.1016/j.envsoft.2025.106649

  Read More Read more about Impact of drought on de facto reuse and water quality in Lake Mead: Insights from hydrodynamic modeling versus machine learning

• Dynamic Prediction of Postprandial Glycemic Response and Personalized Dietary Interventions Based on Machine Learning

  2025-11-30

  https://doi.org/10.1016/j.tjnut.2025.09.023

  Read More Read more about Dynamic Prediction of Postprandial Glycemic Response and Personalized Dietary Interventions Based on Machine Learning

• A fast seismic assessment technique for reinforced concrete buildings: Machine learning-based Hassan Index

  2025-11-30

  https://doi.org/10.1016/j.istruc.2025.110425

  Read More Read more about A fast seismic assessment technique for reinforced concrete buildings: Machine learning-based Hassan Index

• Demand-driven predictive tailoring of anisotropic yield surfaces in origami metamaterials via machine learning

  2025-11-30

  https://doi.org/10.1016/j.ijplas.2025.104522

  Read More Read more about Demand-driven predictive tailoring of anisotropic yield surfaces in origami metamaterials via machine learning

• Predicting ammonia solubility in ionic liquids using machine learning models based on critical properties

  2025-11-30

  https://doi.org/10.1016/j.rineng.2025.106951

  Read More Read more about Predicting ammonia solubility in ionic liquids using machine learning models based on critical properties

• Enhancing big data analysis in IoT applications and optimizing the performance of machine learning models using hybrid dimensionality optimization approach

  2025-11-30

  https://doi.org/10.1016/j.iot.2025.101764

  Read More Read more about Enhancing big data analysis in IoT applications and optimizing the performance of machine learning models using hybrid dimensionality optimization approach

• Machine learning methods in microscopic pedestrian and evacuation dynamics simulation: a comparative study

  2025-11-30

  https://doi.org/10.1016/j.simpat.2025.103180

  Read More Read more about Machine learning methods in microscopic pedestrian and evacuation dynamics simulation: a comparative study

• Machine learning-driven phase prediction and corrosion behavior of (CoCrNi)(100-x-y) AlxTiy high-entropy alloys in Ringer's solution

  2025-11-30

  https://doi.org/10.1016/j.mtla.2025.102590

  Read More Read more about Machine learning-driven phase prediction and corrosion behavior of (CoCrNi)(100-x-y) AlxTiy high-entropy alloys in Ringer's solution

• What influence digital inclusive finance from policy tones? Based on machine learning

  2025-11-30

  https://doi.org/10.1016/j.finr.2025.100058

  Read More Read more about What influence digital inclusive finance from policy tones? Based on machine learning

• Acid leaching of copper from copper slag based on machine learning analysis

  2025-11-30

  https://doi.org/10.1016/j.seppur.2025.135025

  Read More Read more about Acid leaching of copper from copper slag based on machine learning analysis

• Prediction of mechanical properties of 16Mn large tube plates based on machine learning

  2025-11-30

  https://doi.org/10.1016/j.mtcomm.2025.113712

  Read More Read more about Prediction of mechanical properties of 16Mn large tube plates based on machine learning

• 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

  https://doi.org/10.1016/j.icheatmasstransfer.2025.109855

  Read More Read more about Hybrid machine learning and soft computing methods for predicting and optimizing natural convection in a C-shaped cavity with double diffusion effects

• Application of explainable machine learning to characterizing apatite fertility in porphyry-skarn deposits

  2025-11-30

  https://doi.org/10.1016/j.oregeorev.2025.106926 

  Read More Read more about Application of explainable machine learning to characterizing apatite fertility in porphyry-skarn deposits

• Predicting radiation-acute esophagitis via machine learning algorithms

  2025-11-30

  https://doi.org/10.1016/j.compbiolchem.2025.108592

  Read More Read more about Predicting radiation-acute esophagitis via machine learning algorithms

• 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

  https://doi.org/10.1016/j.agwat.2025.109841

  Read More Read more about 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

• Progress in CP violating top-Higgs coupling at the LHC with Machine Learning

  2025-11-30

  https://doi.org/10.1016/j.nuclphysb.2025.117137

  Read More Read more about Progress in CP violating top-Higgs coupling at the LHC with Machine Learning

• Decoding weight-gain patterns in tungsten-containing refractory high-entropy alloys under high-temperature oxidation through machine learning

  2025-11-30

  https://doi.org/10.1016/j.jmrt.2025.10.189

  Read More Read more about Decoding weight-gain patterns in tungsten-containing refractory high-entropy alloys under high-temperature oxidation through machine learning

• Using machine learning with supplemented NC code to predict machining energy

  2025-11-30

  https://doi.org/10.1016/j.mfglet.2025.06.086

  Read More Read more about Using machine learning with supplemented NC code to predict machining energy

• Developing safety performance functions incorporating pavement roughness using Poisson regression and Machine learning models on Jordan’s Desert Highway

  2025-11-30

  https://doi.org/10.1016/j.trip.2025.101659

  Read More Read more about Developing safety performance functions incorporating pavement roughness using Poisson regression and Machine learning models on Jordan’s Desert Highway

• Development and evaluation of neighborhood social risk indices for surgery using outcome-specific machine-learning models

  2025-11-30

  https://doi.org/10.1016/j.surg.2025.109716

  Read More Read more about Development and evaluation of neighborhood social risk indices for surgery using outcome-specific machine-learning models

• Predicting filter cake thickness in drilling fluids using machine learning techniques

  2025-11-30

  https://doi.org/10.1016/j.pce.2025.104078

  Read More Read more about Predicting filter cake thickness in drilling fluids using machine learning techniques

• Machine learning-optimized jet-enhanced immersion liquid cooling for high-power data centers

  2025-11-30

  https://doi.org/10.1016/j.icheatmasstransfer.2025.109654

  Read More Read more about Machine learning-optimized jet-enhanced immersion liquid cooling for high-power data centers

• Machine learning for adsorption-related parameters prediction of electronic specialty gases: DFT-based dataset construction and balanced data augmentation

  2025-11-30

  https://doi.org/10.1016/j.cjche.2025.09.012

  Read More Read more about Machine learning for adsorption-related parameters prediction of electronic specialty gases: DFT-based dataset construction and balanced data augmentation

• Integrating machine learning with electromechanical impedance for non-destructive detection of bolt looseness in steel structures

  2025-11-30

  https://doi.org/10.1016/j.cscm.2025.e05430

  Read More Read more about Integrating machine learning with electromechanical impedance for non-destructive detection of bolt looseness in steel structures

• Machine Learning in Indoor Localization Prediction Using Received Signal Strength Indicator and Wi-Fi Network

  2025-11-30

  https://doi.org/10.1016/j.ijin.2025.10.001

  Read More Read more about Machine Learning in Indoor Localization Prediction Using Received Signal Strength Indicator and Wi-Fi Network

• Exploring maximum likelihood and Bayesian approaches for two-dimensional image restoration: A machine learning perspective

  2025-11-30

  https://doi.org/10.1016/j.cpc.2025.109913

  Read More Read more about Exploring maximum likelihood and Bayesian approaches for two-dimensional image restoration: A machine learning perspective

• Machine learning-based plasma-derived extracellular vesicle signatures for digestive system cancers prediction

  2025-11-30

  https://doi.org/10.1016/j.cmpb.2025.109064

  Read More Read more about Machine learning-based plasma-derived extracellular vesicle signatures for digestive system cancers prediction

• MegaEye: Applying multiple machine learning approaches to identify oral compounds with ocular bioactivity

  2025-11-30

  https://doi.org/10.1016/j.ailsci.2025.100143

  Read More Read more about MegaEye: Applying multiple machine learning approaches to identify oral compounds with ocular bioactivity

• Increasing the prediction efficacy of the thermodynamic properties of R515B refrigerant with machine learning algorithms using SMOGN data augmentation method

  2025-11-30

  https://doi.org/10.1016/j.ijrefrig.2025.07.026

  Read More Read more about Increasing the prediction efficacy of the thermodynamic properties of R515B refrigerant with machine learning algorithms using SMOGN data augmentation method

• Evaluating solar drying effects and machine learning models for nutritional quality of Jerusalem artichoke

  2025-11-30

  https://doi.org/10.1016/j.jfca.2025.108086

  Read More Read more about Evaluating solar drying effects and machine learning models for nutritional quality of Jerusalem artichoke

• A machine learning-based generative design approach for rapid topology optimization of microchannel heat sinks

  2025-11-30

  https://doi.org/10.1016/j.icheatmasstransfer.2025.109655

  Read More Read more about A machine learning-based generative design approach for rapid topology optimization of microchannel heat sinks

• Intelligent assessment of habitat quality based on multiple machine learning fusion methods

  2025-11-30

  https://doi.org/10.1016/j.engappai.2025.112395

  Read More Read more about Intelligent assessment of habitat quality based on multiple machine learning fusion methods

• Development of a machine learning-based risk prediction model for perioperative neurocognitive disorders

  2025-11-30

  https://doi.org/10.1016/j.jclinane.2025.112016

  Read More Read more about Development of a machine learning-based risk prediction model for perioperative neurocognitive disorders

• Classification of toxic element accumulation in rice grains using optimized machine learning models: A comparative study

  2025-11-30

  https://doi.org/10.1016/j.jfca.2025.108504

  Read More Read more about Classification of toxic element accumulation in rice grains using optimized machine learning models: A comparative study

• Democratizing interactivity: An overview of interfaces for multimedia machine learning

  2025-11-30

  https://doi.org/10.1016/j.cag.2025.104412

  Read More Read more about Democratizing interactivity: An overview of interfaces for multimedia machine learning

• Real-time classification of Serengeti wildebeest behaviour with edge machine learning and a long-range IoT network

  2025-11-30

  https://doi.org/10.1139/cjz-2024-0075

  Read More Read more about Real-time classification of Serengeti wildebeest behaviour with edge machine learning and a long-range IoT network

• CVaR-based risk parity model with machine learning

  2025-11-30

  https://doi.org/10.1016/j.pacfin.2025.102857

  Read More Read more about CVaR-based risk parity model with machine learning

• Chirality recognition of amino acid by combining machine learning method and sliding window technique

  2025-11-30

  https://doi.org/10.1016/j.optlastec.2025.113937

  Read More Read more about Chirality recognition of amino acid by combining machine learning method and sliding window technique

• ANN vs. traditional machine learning models: A comparative study on open switch fault diagnosis in VSIs for solar pumping systems

  2025-11-30

  https://doi.org/10.1016/j.egyr.2025.09.031

  Read More Read more about ANN vs. traditional machine learning models: A comparative study on open switch fault diagnosis in VSIs for solar pumping systems

• Evaluating CEO hubris effects on sustainable performance in the IC design industry: An integrated dynamic network DEA framework with machine learning

  2025-11-25

  https://doi.org/10.1016/j.asoc.2025.113986

  Read More Read more about Evaluating CEO hubris effects on sustainable performance in the IC design industry: An integrated dynamic network DEA framework with machine learning

• An interpretable machine learning framework for automated mitosis detection in gastrointestinal stromal tumors

  2025-11-25

  https://doi.org/10.1016/j.prp.2025.156246 

  Read More Read more about An interpretable machine learning framework for automated mitosis detection in gastrointestinal stromal tumors

• Digital capability and rural household development resilience: A double machine learning approach

  2025-11-25

  https://doi.org/10.1016/j.jrurstud.2025.103900 

  Read More Read more about Digital capability and rural household development resilience: A double machine learning approach

• Classifying demonstration format and presenter identity in imitative learning task: EEG-based explainable machine learning

  2025-11-25

  https://doi.org/10.1016/j.compbiomed.2025.111199

  Read More Read more about Classifying demonstration format and presenter identity in imitative learning task: EEG-based explainable machine learning

• A blockchain solution for decentralized training in machine learning for IoT

  2025-11-25

  https://doi.org/10.1016/j.comcom.2025.108289

  Read More Read more about A blockchain solution for decentralized training in machine learning for IoT

• Comprehensive Serum Glycopeptide Spectrum Analysis with Machine Learning for Non-Invasive Early Detection of Gastrointestinal Cancers

  2025-11-25

  https://doi.org/10.1016/j.csbj.2025.10.067

  Read More Read more about Comprehensive Serum Glycopeptide Spectrum Analysis with Machine Learning for Non-Invasive Early Detection of Gastrointestinal Cancers

• Integrating machine learning and CFD for enhanced trailing edge serration design on a NACA 0012 wind turbine blade

  2025-11-25

  https://doi.org/10.1016/j.ijft.2025.101446 

  Read More Read more about Integrating machine learning and CFD for enhanced trailing edge serration design on a NACA 0012 wind turbine blade

• Predictive modeling and stability analysis of tetradecanoic acid-modified zinc/zinc oxide coatings using machine learning

  2025-11-25

  https://doi.org/10.1016/j.nxmate.2025.101336 

  Read More Read more about Predictive modeling and stability analysis of tetradecanoic acid-modified zinc/zinc oxide coatings using machine learning

• Determination of (p, n) reaction cross-section for various nuclei at 7.5 MeV by using machine learning models

  2025-11-25

  https://doi.org/10.1016/j.apradiso.2025.112059

  Read More Read more about Determination of (p, n) reaction cross-section for various nuclei at 7.5 MeV by using machine learning models

• Prediction of fast-charging capabilities in LiFePO₄/graphite lithium-ion batteries using internal resistance and machine learning

  2025-11-25

  https://doi.org/10.1016/j.ijoes.2025.101181

  Read More Read more about Prediction of fast-charging capabilities in LiFePO₄/graphite lithium-ion batteries using internal resistance and machine learning

• Tunable graphene-based metamaterial thermal absorber design for thermal sensing applications with behaviour prediction using machine learning

  2025-11-25

  https://doi.org/10.1016/j.csite.2025.107305

  Read More Read more about Tunable graphene-based metamaterial thermal absorber design for thermal sensing applications with behaviour prediction using machine learning

• Determination of mechanical properties of physical vapor deposition tool coatings using machine learning

  2025-11-25

  https://doi.org/10.1016/j.wear.2025.206296

  Read More Read more about Determination of mechanical properties of physical vapor deposition tool coatings using machine learning

• Heuristic Custom Similarity Index (HCSI): A novel machine learning approach for link prediction

  2025-11-25

  https://doi.org/10.1016/j.jocs.2025.102719

  Read More Read more about Heuristic Custom Similarity Index (HCSI): A novel machine learning approach for link prediction

• Sinkhole susceptibility mapping in Greene county, Missouri through machine learning algorithms

  2025-11-25

  https://doi.org/10.1016/j.geoai.2025.100035

  Read More Read more about Sinkhole susceptibility mapping in Greene county, Missouri through machine learning algorithms

• Machine learning based prediction of nitrogenous product yield in biomass pyrolysis oil

  2025-11-25

  https://doi.org/10.1016/j.joei.2025.102291

  Read More Read more about Machine learning based prediction of nitrogenous product yield in biomass pyrolysis oil

• Machine learning modeling of melt-spinning for yarn property prediction

  2025-11-25

  https://doi.org/10.1016/j.rinma.2025.100776

  Read More Read more about Machine learning modeling of melt-spinning for yarn property prediction

• OpenPyStruct: Open-source toolkit for machine learning-driven structural optimization

  2025-11-25

  https://doi.org/10.1016/j.engstruct.2025.120869

  Read More Read more about OpenPyStruct: Open-source toolkit for machine learning-driven structural optimization

• Multidimensional strategy for discovering saltiness-enhancing peptides in shrimp heads integrating ultra-high pressure hydrolysis and machine learning

  2025-11-25

  https://doi.org/10.1016/j.foodchem.2025.146893

  Read More Read more about Multidimensional strategy for discovering saltiness-enhancing peptides in shrimp heads integrating ultra-high pressure hydrolysis and machine learning

• Machine confirming: Validating financial theories with transfer learning

  2025-11-25

  https://doi.org/10.1016/j.irfa.2025.104485

  Read More Read more about Machine confirming: Validating financial theories with transfer learning

• A multilevel machine learning algorithm to predict session-by-session outcome for patients receiving cognitive-behavioural therapy

  2025-11-25

  https://doi.org/10.1016/j.brat.2025.104848 

  Read More Read more about A multilevel machine learning algorithm to predict session-by-session outcome for patients receiving cognitive-behavioural therapy

• AI-driven extraction and intelligent retrieval of missionary archives in Malabar: advancing preservation and accessibility with machine learning

  2025-11-24

  https://doi.org/10.1108/PMM-02-2025-0008

  Read More Read more about AI-driven extraction and intelligent retrieval of missionary archives in Malabar: advancing preservation and accessibility with machine learning

• Pyrolysis characteristics of microalgae and machine learning modelling for activation energy

  2025-11-24

  https://doi.org/10.1016/j.jece.2025.119876

  Read More Read more about Pyrolysis characteristics of microalgae and machine learning modelling for activation energy

• Application of machine learning in python for temporal groundwater level prediction

  2025-11-24

  https://doi.org/10.1016/j.sesci.2025.100261

  Read More Read more about Application of machine learning in python for temporal groundwater level prediction

• HyperGraph-based Minimax Probability Machines for Semi-Supervised Learning

  2025-11-24

  https://doi.org/10.1016/j.procs.2025.04.625

  Read More Read more about HyperGraph-based Minimax Probability Machines for Semi-Supervised Learning

• Exploring the coupling of ecosystem services and human well-being: evidence from Chinese cities through interpretable machine learning

  2025-11-24

  https://doi.org/10.1016/j.ecolind.2025.114315

  Read More Read more about Exploring the coupling of ecosystem services and human well-being: evidence from Chinese cities through interpretable machine learning

• Beyond the last surprise: Reviving PEAD with machine learning and historical earnings

  2025-11-24

  https://doi.org/10.1016/j.frl.2025.108751

  Read More Read more about Beyond the last surprise: Reviving PEAD with machine learning and historical earnings

• Building energy prediction in a changing climate: an interpretable machine learning approach

  2025-11-24

  https://doi.org/10.1016/j.buildenv.2025.113420

  Read More Read more about Building energy prediction in a changing climate: an interpretable machine learning approach

• 2D and 3D QSAR-Based Machine Learning Models for Predicting Pyrazole Corrosion Inhibitors for Mild Steel in HCl

  2025-11-24

  https://doi.org/10.1016/j.sciaf.2025.e03069

  Read More Read more about 2D and 3D QSAR-Based Machine Learning Models for Predicting Pyrazole Corrosion Inhibitors for Mild Steel in HCl

• Machine learning-driven insights into the microstructure and properties of high-entropy alloys

  2025-11-24

  https://doi.org/10.1016/j.apmate.2025.100331

  Read More Read more about Machine learning-driven insights into the microstructure and properties of high-entropy alloys

• Moisture content prediction in durian husk biomass via near infrared spectroscopy coupled with aquaphotomics and explainable machine learning

  2025-11-24

  https://doi.org/10.1016/j.chemolab.2025.105538

  Read More Read more about Moisture content prediction in durian husk biomass via near infrared spectroscopy coupled with aquaphotomics and explainable machine learning

• Foreign aid's double-edged sword effect on carbon emissions: A machine learning approach

  2025-11-24

  https://doi.org/10.1016/j.jclepro.2025.146890

  Read More Read more about Foreign aid's double-edged sword effect on carbon emissions: A machine learning approach

• 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

  https://doi.org/10.1016/j.microc.2025.115287 

  Read More Read more about A rapid method for determination of plasmid types and transformations based on combining the Fourier-transform infrared spectral data with machine learning

• New models for estimating pure shear fracture toughness of confined quasi-brittle PTS specimens: Empirical and machine learning framework

  2025-11-24

  https://doi.org/10.1016/j.rineng.2025.107418

  Read More Read more about New models for estimating pure shear fracture toughness of confined quasi-brittle PTS specimens: Empirical and machine learning framework

• Machine learning-based damage classification and comparative life cycle assessment of Origami Pill Bug for emergency shelters

  2025-11-24

  https://doi.org/10.1016/j.jobe.2025.114051

  Read More Read more about Machine learning-based damage classification and comparative life cycle assessment of Origami Pill Bug for emergency shelters

• Roughness-informed machine learning – A call for fractal and fractional calculi

  2025-11-24

  https://doi.org/10.1016/j.jiixd.2025.09.001

  Read More Read more about Roughness-informed machine learning – A call for fractal and fractional calculi

• 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

  https://doi.org/10.1016/j.oregeorev.2025.106882

  Read More Read more about Prospectivity mapping and exploration targeting for sediment-hosted Pb–Zn deposits in NW Guizhou of SW China using an integrated machine learning framework

• Determining the geographical origin of Fritillaria by terahertz spectroscopy and machine learning algorithms

  2025-11-24

  https://doi.org/10.1016/j.cplett.2025.142350

  Read More Read more about Determining the geographical origin of Fritillaria by terahertz spectroscopy and machine learning algorithms

• Sysmon event logs for machine learning-based malware detection

  2025-11-24

  https://doi.org/10.1016/j.csa.2025.100110

  Read More Read more about Sysmon event logs for machine learning-based malware detection

• Advancing ovarian cancer outcomes with CTGAN-enhanced hybrid machine learning approach

  2025-11-24

  https://doi.org/10.1016/j.knosys.2025.114206

  Read More Read more about Advancing ovarian cancer outcomes with CTGAN-enhanced hybrid machine learning approach

• Material property prediction of perovskite oxides based on machine learning

  2025-11-24

  https://doi.org/10.1016/j.cocom.2025.e01112

  Read More Read more about Material property prediction of perovskite oxides based on machine learning

• A machine learning based calibration method for differential scanning calorimetry

  2025-11-24

  https://doi.org/10.1016/j.tca.2025.180158

  Read More Read more about A machine learning based calibration method for differential scanning calorimetry

• A machine learning assisted approach to classify rose species and varieties with laser induced breakdown spectroscopy

  2025-11-24

  https://doi.org/10.1016/j.aca.2025.344489

  Read More Read more about A machine learning assisted approach to classify rose species and varieties with laser induced breakdown spectroscopy

• Adversarial learning enhanced multi-agent cooperative reinforcement learning for parallel batch processing machine scheduling in wafer fabrication

  2025-11-24

  https://doi.org/10.1016/j.cie.2025.111660 

  Read More Read more about Adversarial learning enhanced multi-agent cooperative reinforcement learning for parallel batch processing machine scheduling in wafer fabrication

• Exploring the Nonlinear and Spatial Effects of Urban Activity Heterogeneity on the Nighttime Thermal Environment Using Machine Learning and GWR

  2025-11-24

  https://doi.org/10.1016/j.buildenv.2025.113928

  Read More Read more about Exploring the Nonlinear and Spatial Effects of Urban Activity Heterogeneity on the Nighttime Thermal Environment Using Machine Learning and GWR

• Identification of 37 kinds of herbs containing oligosaccharides by combining data fusion and machine learning

  2025-11-24

  https://doi.org/10.1016/j.jfca.2025.108190

  Read More Read more about Identification of 37 kinds of herbs containing oligosaccharides by combining data fusion and machine learning

• 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

  https://doi.org/10.1016/j.enganabound.2025.106510

  Read More Read more about A comprehensive prediction framework for offshore downhole collapse pressure based on machine learning and multi-attribute decision analysis: Insights from the East China Sea,

• Sampling strategies for machine learning-based linear erosion studies: a review approaching contributing area

  2025-11-24

  https://doi.org/10.1016/j.nhres.2025.08.002

  Read More Read more about Sampling strategies for machine learning-based linear erosion studies: a review approaching contributing area

• Enhanced prediction of ammonia nitrogen levels in reverse osmosis brine from a full-scale water reclamation plant using machine learning

  2025-11-24

  https://doi.org/10.1016/j.wroa.2025.100384

  Read More Read more about Enhanced prediction of ammonia nitrogen levels in reverse osmosis brine from a full-scale water reclamation plant using machine learning

• Using machine learning to predict child active transportation prevalence

  2025-11-24

  https://doi.org/10.1016/j.jth.2025.102197

  Read More Read more about Using machine learning to predict child active transportation prevalence

• Application of latent variable models for hidden pattern identification and machine learning prediction improvement in structural engineering

  2025-11-24

  https://doi.org/10.1016/j.engappai.2025.111282

  Read More Read more about Application of latent variable models for hidden pattern identification and machine learning prediction improvement in structural engineering

• Machine learning from a “Universe” of signals: The role of feature engineering

  2025-11-24

  https://doi.org/10.1016/j.jfineco.2025.104138

  Read More Read more about Machine learning from a “Universe” of signals: The role of feature engineering

• Machine learning prediction of heat capacity of polymers as a function of temperature

  2025-11-24

  https://doi.org/10.1016/j.polymer.2025.129171

  Read More Read more about Machine learning prediction of heat capacity of polymers as a function of temperature

• Machine Learning-Based Prediction of Stand Biomass Using Multi-Source Environmental Data in the Hulunbuir Mixed Forests, Inner Mongolia

  2025-11-24

  https://doi.org/10.1016/j.tfp.2025.101072

  Read More Read more about Machine Learning-Based Prediction of Stand Biomass Using Multi-Source Environmental Data in the Hulunbuir Mixed Forests, Inner Mongolia

• 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

  https://doi.org/10.1016/j.ejso.2025.110376

  Read More Read more about 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

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• Prediction and Sensitivity Analysis of Foam Concrete Compressive Strength Based on Machine Learning Techniques with Hyperparameter Optimization

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