|
581 |
Mapping glacier basal sliding applying machine learning
Umlauft, Josefine. - Mannheim : Universitätsbibliothek Mannheim, 2024
|
|
|
|
582 |
Mechanistic machine learning for metamaterial fatigue strength design from first principles in additive manufacturing
Awd, Mustafa. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
|
|
|
|
583 |
Mechanistic machine learning for metamaterial fatigue strength design from first principles in additive manufacturing
Awd, Mustafa. - Dortmund : Universitätsbibliothek Dortmund, 2024
|
|
|
|
584 |
ML-SAFT: A machine learning framework for PCP-SAFT parameter prediction
Felton, Kobi C.. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
|
|
|
|
585 |
Mo–Si Alloys Studied by Atomistic Computer Simulations Using a Novel Machine‐Learning Interatomic Potential: Thermodynamics and Interface Phenomena
Lenchuk, Olena. - Darmstadt : Universitäts- und Landesbibliothek, 2024
|
|
|
|
586 |
Monitoring of fused filament fabrication (FFF) : An infrared imaging and machine learning approach
Bauriedel, Niklas. - Bayreuth : Universität Bayreuth, 2024
|
|
|
|
587 |
Multimodal workflows optimally predict response to repetitive transcranial magnetic stimulation in patients with schizophrenia: a multisite machine learning analysis
Dong, Mark Sen. - Augsburg : Universität Augsburg, 2024
|
|
|
|
588 |
Multimodale Foundation-Modelle in der Produktion
Behnen, Hannes. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
|
|
|
|
589 |
Neural force functional for non-equilibrium many-body colloidal systems
Zimmermann, Toni. - Bayreuth : Universität Bayreuth, 2024
|
|
|
|
590 |
Non-invasive assessment of NAFLD as systemic disease—A machine learning perspective
Canbay, Ali E.. - Würzburg : Universität Würzburg, 2024
|
|
Administration
