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101 |
Predicting grain boundary segregation in magnesium alloys: An atomistically informed machine learning approach
Xie, Zhuocheng. - Berlin : Bundesanstalt für Materialforschung und -prüfung (BAM), 2025
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102 |
Predicting grain boundary segregation in magnesium alloys: An atomistically informed machine learning approach
Xie, Zhuocheng. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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103 |
Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder : a machine learning approach to predict long-term outcome of Narrative Exposure Therapy vs. Dialectical Behavioral Therapy based treatment
Blaß, Jakob. - Konstanz : KOPS Universität Konstanz, 2025
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104 |
Predicting tilling and seeding operation times in grain production: a comparison of machine learning and mechanistic models
Scheurer, Luca. - Hohenheim : Universität Hohenheim, 2025
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105 |
Prediction of statistical force–displacement curves of Charpy-V impact tests based on unsupervised fracture surface machine learning
Rosenberger, Johannes. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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106 |
Probing Rate-Dependent Liquid Shear Viscosity Using Combined Machine Learning and Nonequilibrium Molecular Dynamics
Gao, Hongyu. - Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2025
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107 |
Pull-off force prediction in viscoelastic adhesive Hertzian contact by physics augmented machine learning
Maghami, Ali. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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108 |
Quality-of-life scale machine learning approach to predict immunotherapy response in patients with advanced non-small cell lung cancer
Shen, Juanyan. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2025
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109 |
Quality prediction for milling processes: automated parametrization of an end-to-end machine learning pipeline
Fertig, Alexander. - Darmstadt : Universitäts- und Landesbibliothek, 2025
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110 |
Reliable machine learning models for manufacturing processes
Kubik, Christian. - Darmstadt : Universitäts- und Landesbibliothek, 2025
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