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AN OPERATOR PRECONDITIONING PERSPECTIVE ON TRAINING IN PHYSICS-INFORMED MACHINE LEARNING
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Machine learning-assisted search for novel coagulants - when machine learning can be efficient even if data availability is low
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Gauging road safety advances using a hybrid EWM–PROMETHEE II–DBSCAN model with machine learning
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Transforming the Synthesis of Carbon Nanotubes with Machine Learning Models and Automation
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Machine learning approach for classification of REE/Fe-zeolite catalysts for fenton-like reaction - Article overview
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Towards Machine Learning Foundation Models for Materials Chemistry - Doctoral Dissertation
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How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences - Research Article
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Are machine learning technologies ready to be used for humanitarian work and development? - Answering key barriers and risks
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Development of Machine Learning Algorithms in Student Performance Classification Based on Online Learning Activities
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PdM-FSA - predictive maintenance framework with fault severity awareness in Industry 4.0 using machine learning
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Machine Learning Prediction of Treatment Response to Biological Disease-Modifying Antirheumatic Drugs in Rheumatoid Arthritis
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An Application of Machine Learning to Logistics Performance Prediction - Economics Attribute-Based Collective Instance
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Predicting Sea Surface Wave and Wind Parameters from Satellite Radar Images using Machine Learning
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Metabolic dysfunctions predict the development of Alzheimer's disease - Statistical and machine learning analysis of EMR data
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