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921 |
Machine learning-guided prediction of tumor-reactive T cell receptors
Tan, Chin Leng. - Heidelberg, [2024]
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922 |
Machine learning in combinatorial optimization – an application to machine scheduling
Uzunoglu, Aykut. - Augsburg : Universität Augsburg, 2024
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923 |
Machine learning in empirical CAT bond pricing
Witowski, Eileen. - Göttingen : Cuvillier Verlag, 2024, 1. Auflage
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924 |
Machine learning in neuroimaging psychiatry
Schulz, Marc-André. - Berlin, 2024
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925 |
Machine Learning Methods for Modeling Turbulence in Large Eddy Simulations
Kurz, Marius. - München : Verlag Dr. Hut, 2024
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926 |
Machine learning methods for pain investigation using physiological signals
Gouverneur, Philip Johannes. - Berlin : Logos Verlag Berlin, [2024]
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927 |
Machine learning methods for prediction of protein-protein interaction hot spot residues
Sitani, Divya. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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928 |
Machine Learning Methods for the Simulation and Characterization of Many-Body Quantum Systems
López Gutiérrez, Irene. - München : Universitätsbibliothek der TU München, 2024
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929 |
Machine learning models for chiral transport in magnetic systems
Kipp, Jonathan. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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930 |
Machine learning models for forward and inverse structure–property relationships in complex materials: a case study on damage tolerant dual-phase steels
Kusampudi, Navyanth. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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