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1 |
A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery Semnani, Parastoo. - Berlin : Technische Universität Berlin, 2025
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A machine learning-based framework and open-source software for non intrusive water monitoring Gross, Marie-Philine. - Berlin : Technische Universität Berlin, 2025
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A Machine Learning Dataset of Artificial Inner Ring Damage on Cylindrical Roller Bearings Measured Under Varying Cross-Influences Schnur, Christopher. - Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2025
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A systematic review of machine learning-based prognostic models for acute pancreatitis: towards improving methods and reporting quality Critelli, Brian. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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Application of machine learning in predicting quality parameters in Metal Material Extrusion (MEX/M) Asami, Mohammad Karim. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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Artificial intelligence and machine learning Kühl, Niklas. - Darmstadt : Universitäts- und Landesbibliothek, 2025
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Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling Holthusen, Hagen. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling Holthusen, Hagen. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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Choosing explanation over performance: insights from machine learning-based prediction of human intelligence from brain connectivity Thiele, Jonas A.. - Würzburg : Universität Würzburg, 2025
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Concept of a plug-and-play, machine learning digital twin of the production resource for detailed capacity planning and scheduling Luber, Mario. - Augsburg : Universität Augsburg, 2025
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