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Machine learning in tribology: A review on framework, case studies, and future perspectives

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Classification of Shoulder Rehabilitation Exercises by Using Wearable Systems and Machine Learning Algorithms

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Spatio-temporal communication network traffic prediction method based on graph neural network

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Understanding critical masonry building attributes shaping vulnerability to blast loads: Data-driven insights from the 2020 Beirut explosion

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Good practices and common pitfalls of machine learning in nutrition research

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Development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective data: a protocol

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Sales Forecasting for New Products Using Homogeneity-Based Clustering and Ensemble Method

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Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review

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Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models

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Circulating serum miR-362-3p and miR-6721-5p as potential biomarkers for classification patients with adult-type diffuse glioma

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Predicting the trajectory of non‐suicidal self‐injury among adolescents

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Machine‐learning models for shoulder rehabilitation exercises classification using a wearable system

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Emotion recognition based on time-scale heterogeneity and hierarchical spatial coupling analysis of multimodal physiological signals

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Improvement of multi-task learning by data enrichment: application for drug discovery

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Predicting Eastern Mediterranean Flash Floods Using Support Vector Machines with Precipitable Water Vapor, Pressure, and Lightning Data

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Methodology for Control of Helicopters Aircraft Engines Technical State in Flight Modes Using Neural Networks

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System transferability of Raman-based oesophageal tissue classification using modern machine learning to support multi-centre clinical diagnostics

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A bimodal deep learning network based on CNN for fine motor imagery

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Biomarker discovery and development of prognostic prediction model using metabolomic panel in breast cancer patients: a hybrid methodology integrating machine learning and explainable artificial intelligence

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Research on postharvest tomato freshness recognition method based on RGB‐S and ResNet34

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RetenNet: A Deployable Machine Learning Pipeline with Explainable AI and Prescriptive Optimization for Customer Churn Management

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Impact of Gender and Feature Set on Machine-Learning-Based Prediction of Lower-Limb Overuse Injuries Using a Single Trunk-Mounted Accelerometer

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Prediction of Treatment Response in Triple Negative Breast Cancer From Whole Slide Images

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Risk Factors of Hyperglycemia After Treatment With the AKT Inhibitor Ipatasertib in the Prostate Cancer Setting: A Machine Learning–Based Investigation

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Estimating Crown Biomass in a Multilayered Fir Forest Using Airborne LiDAR Data

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Method for Determining the Dominant Type of Human Breathing Using Motion Capture and Machine Learning

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Application of machine learning for evaluating and predicting fault seals: A case study in the Huimin depression, Bohai Bay Basin, Eastern China

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MicroRNA classification and discovery for major depressive disorder diagnosis: Towards a robust and interpretable machine learning approach

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Feature engineering and parameter tuning: improving phenomic prediction ability in multi-environmental durum wheat breeding trials

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Improving the Diagnosis of Systemic Lupus Erythematosus with Machine Learning Algorithms Based on Real-World Data

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Evaluating Discharge Coefficient of Rectangular Sharp Crested Weirs Using Machine Learning Models

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Randomness in Data Partitioning and Its Impact on Digital Soil Mapping Accuracy: A Comparison of Cross-Validation and Split-Sample Approaches

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Identifying the Predominant Site of Upper Airway Collapse in Obstructive Sleep Apnoea Patients Using Snore Signals

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Big data meets storytelling: using machine learning to predict popular fanfiction

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Robust remote detection of depressive tendency based on keystroke dynamics and behavioural characteristics

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Machine learning prediction model of the treatment response in schizophrenia reveals the importance of metabolic and subjective characteristics

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Advanced autism detection and visualization through XGBoost algorithm for fNIRS hemo-dynamic signals

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Classifying simulated gait impairments using privacy-preserving explainable artificial intelligence and mobile phone videos

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AI-Enhanced smart sensors for heavy metal detection in water treatment

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Model-informed classification of broadband acoustic backscatter from zooplankton in an in situ mesocosm

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Predicting treatment resistance in positive and negative symptom domains from first episode psychosis: Development of a clinical prediction model

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Performance evaluation metric for statistical learning trading strategies

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Evaluating machine leaning algorithms for accuracy, stability, and among-predictors discriminability in modeling species-richness across ten datasets

Cao, Y., Schartel, T. E., Houghton, D. C., Ross, J. A., & Infante, D. M. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103323 · Cited by 6

Analysis of factors affecting the academic performance of university students using machine learning

Marín, Y. R., Huatangari, L. Q., Tuesta, J. N. A., Caro, O. C., Guevara, J. L. M., Bardales, E. S., & Santos, R. C. (2025) · Scientific Reports · doi:10.1038/s41598-025-28870-1 · Cited by 6

Prediction through machine learning on the dependence of job prospects in the Afro-American community on proficiency in English

Samanta, A., Chowdhury, A., & Das, D. (2022) · IJARCCE · doi:10.17148/ijarcce.2022.11354 · Cited by 6

Investigation Study of Structure Real Load Spectra Acquisition and Fatigue Life Prediction Based on the Optimized Efficient Hinging Hyperplane Neural Network Model

Zhu, L. Z., Xing, B., Li, X., Chen, M., & Jia, M. (2024) · Chinese Journal of Mechanical Engineering · doi:10.1186/s10033-024-01124-3 · Cited by 6

A reasoning diagram based method for fault diagnosis of railway point system

Wang, F., Cao, Y., Roberts, C., Wen, T., Tan, L., Su, S., & Tang, T. (2023) · High-speed Railway · doi:10.1016/j.hspr.2023.01.002 · Cited by 6

Table 2 Fallacy in Descriptive Epidemiology: Bringing Machine Learning to the Table

Dharma, C., Fu, R., & Chaiton, M. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20136194 · Cited by 6

Hybrid Machine Learning and Experimental Studies of Antiviral Potential of Ionic Liquids against P100, MS2, and Phi6

Zdybel, S., Sosnowska, A., Kowalska, D., Sommer, J., Conrady, B., Mester, P., Gromelski, M., & Puzyn, T. (2024) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.3c02037 · Cited by 6

EEG Emotion Recognition Employing RGPCN-BiGRUAM: ReliefF-Based Graph Pooling Convolutional Network and BiGRU Attention Mechanism

Jiang, C., Sun, X., Dai, Y., Zhang, Y., Chen, D., Li, Y., & Tang, Y. (2024) · Electronics · doi:10.3390/electronics13132530 · Cited by 6

Identification of water pollution sources in the Daluxi River using kernel principal component analysis and gradient boosting decision tree

Liu, Y., Zheng, N., Yang, S., Liu, F., Liu, M., & Chen, Y. (2025) · Environmental Earth Sciences · doi:10.1007/s12665-025-12241-0 · Cited by 5

Assisting monofloral honey classification by automated pollen identification based on convolutional neural networks

Valiente, J. M., Martín-Osuna, J. J., Peral, A. M., & Escriche, I. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103340 · Cited by 5

Intelligent Measurement of Coal Moisture Based on Microwave Spectrum via Distance-Weighted kNN

Li, M., Tian, J., Wang, Y., Zhang, H., Yang, D., & Lei, M. (2022) · Applied Sciences · doi:10.3390/app12126199 · Cited by 5

Amygdala Stimulation Leads to Functional Network Connectivity State Transitions in the Hippocampus

Sendi, M. S. E., Kanta, V., Inman, C. S., Manns, J. R., Hamann, S. B., Gross, R. E., Willie, J. T., & Mahmoudi, B. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc44109.2020.9176742 · Cited by 5

Classification and authentication of materials using prompt gamma ray activation analysis

Mahynski, N. A., Monroe, J. I., Sheen, D. A., Paul, R. L., Chen‐Mayer, H. H., & Shen, V. K. (2023) · Journal of Radioanalytical and Nuclear Chemistry · doi:10.1007/s10967-023-09024-x · Cited by 5

Machine learning-based prediction of Q-voter model in complex networks

Pineda, A. M., Kent, P. R. C., Connaughton, C., & Rodrigues, F. A. (2023) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/ad06a6 · Cited by 5

FASO-C: A rapid visualization technique based on optimized fusion with crossover-based atom search for multi-band imagery

Joshi, S., Kumar, R., Rai, V., Rai, P. K., Singhal, M., & Dwivedi, A. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.123609 · Cited by 5

Early prediction of final weight in nomadic sheep flocks using machine learning algorithms

Esener, N., & Eşkİ, H. T. (2025) · Tropical Animal Health and Production · doi:10.1007/s11250-025-04682-3 · Cited by 4

Development of machine learning-based multi-task quantitative structure–activity relationship models for predicting toxicities in six human organ systems

Wu, P.-Y., Chou, W., Kamineni, V. N., Chen, C.-Y., Hsieh, J., Vulpe, C. D., & Lin, Z. (2025) · Computational Toxicology · doi:10.1016/j.comtox.2025.100399 · Cited by 4

An integrated approach for water quality assessment and pollution source identification using optimized machine learning and water quality index model in a Tidal River of Bangladesh

Faruq, O., Hossain, N. J., Sajib, A. M., Diganta, M. T. M., Moniruzzaman, M., Olbert, A. I., & Uddin, M. G. (2026) · Journal of Hydrology Regional Studies · doi:10.1016/j.ejrh.2026.103215 · Cited by 5

The Use of Machine Learning in Aluminum and Magnesium Matrix Composites: A Review

Aydın, F., & Duru, A. (2026) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-026-10511-z · Cited by 4

Optimizing University Admission Processes for Improved Educational Administration Through Feature Selection Algorithms: A Case Study in Engineering Education

Hinojosa, M., Alfaro, M. D., Fuertes, G., Ternero, R., Santander, P., & Vargas, M. (2025) · Education Sciences · doi:10.3390/educsci15030326 · Cited by 4

Enhancing predictive performance for spectroscopic studies in wildlife science through a multi-model approach: A case study for species classification of live amphibians

Chen, L.-D., Caprio, M. A., Chen, D. M., Kouba, A. J., & Kouba, C. K. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011876 · Cited by 4

A novel GPU-based approach for embedded NARMAX/FROLS system identification

Soudré, M. M., Ayala, H. V. H., de Melo, A. C. M. A., & Llanos, C. H. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.111261 · Cited by 4

Brain sodium MRI-derived priors support the estimation of epileptogenic zones using personalized model-based methods in epilepsy

Azilinon, M., Wang, H., Makhalova, J., Zaaraoui, W., Ranjeva, J., Bartoloméi, F., Guye, M., & Jirsa, V. (2024) · Network Neuroscience · doi:10.1162/netn_a_00371 · Cited by 4

RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning

Song, W. H., & Park, M. (2024) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-024-02660-7 · Cited by 4

Associations between urinary and blood heavy metal exposure and heart failure in elderly adults: Insights from an interpretable machine learning model based on NHANES (2003–2020)

Yuting, Y., & Shan, D. (2025) · International Journal of Cardiology Cardiovascular Risk and Prevention · doi:10.1016/j.ijcrp.2025.200418 · Cited by 5

The prediction of student’s academic performance using RapidMiner

Mustapha, M. F., Zulkifli, A. N. I., Kairan, O., Zizi, N. N. S. M., Yahya, N. N., & Mohamad, N. M. (2023) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v32.i1.pp363-371 · Cited by 4

Exploratory insights into prefrontal cortex activity in continuous glucose monitoring: findings from a portable wearable functional near-infrared spectroscopy system

Chen, J., Yu, K., Zhuang, S., & Zhang, D. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1342744 · Cited by 3

Machine learning-driven insights into retention mechanism in IAM chromatography of anticancer sulfonamides: Implications for biological efficacy

Nisterenko, W., Żołnowska, B., Deng, J., Zgoda, D., Różycka, A., Greber, K. E., Pogorzelska, A., Szafrański, K., Bułakowska, A., Tomorowicz, Ł., et al. (2025) · Journal of Chromatography A · doi:10.1016/j.chroma.2025.465911 · Cited by 3

Predicting prostate cancer radiotherapy complications: An integrated approach using radiomics, dosiomics, and machine learning

Sadati, E., Hashemi, B., Mahdavi, S. R., Nikoufar, A. R., & Abdollahi, H. (2025) · International Journal of Radiation Research · doi:10.61186/ijrr.23.1.239 · Cited by 3

Evaluating urban traffic dynamics: a study of mobility in Vellore city

Parkavi, S., & Parthiban, A. (2025) · Frontiers in Sustainable Cities · doi:10.3389/frsc.2025.1631748 · Cited by 3

Machine learning-driven nonlinear analysis of inclusion effects in aluminium alloys

Datta, A., Rana, A. K., & Ghadai, R. K. (2025) · Scientific Reports · doi:10.1038/s41598-025-19756-3 · Cited by 3

High-Precision Solvation Free Energy Calculation via Multi-Input Linear Correction in 3D-RISM Theory

Maruyama, Y., & Yoshida, N. (2026) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5c02013 · Cited by 3

Machine learning models for predicting density and glass transition temperature of chalcogenide glasses: Comparison and validation on novel compositions

Klinkov, V. A., Pavlov, E. A., & Семенча, А. В. (2026) · Materialia · doi:10.1016/j.mtla.2026.102771 · Cited by 3

kCV-B: BOOTSTRAP WITH CROSS-VALIDATION FOR DEEP LEARNING MODEL DEVELOPMENT, ASSESSMENT AND SELECTION

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