|
21 |
Computational studies of transition metal catalysts and the exploration of structure-reactivity relationships using machine learning approaches
Huang, Tianbai. - Jena, 2024
|
|
|
|
22 |
Data-based analyses of manufacturing components
Finkeldey, Felix. - Düren : Shaker Verlag, 2024
|
|
|
|
23 |
Data-driven protein engineering
Siedhoff, Niklas. - Aachen, [2024]
|
|
|
|
24 |
Datengetriebene Strukturierung von NC-Zerspanprozessen
Ochel, Janis. - Aachen : Apprimus Verlag, 2024, 1. Auflage
|
|
|
|
25 |
[Rule(s) of recommendation: what the making of a recommender system can tell us about the difficult relation between social order and machine learning]
Democratic algorithms: ethnography of a public recommender system
Poechhacker, Nikolaus. - Lüneburg : meson press eG, 2024
|
|
|
|
26 |
Development of new high-throughput approaches for machine-learning applications
Koswig, Timo. - Jena, [2024?]
|
|
|
|
27 |
Dynamic occupancy grid mapping with recurrent neural networks for autonomous driving
Schreiber, Marcel. - Ulm : Universität Ulm, 2024
|
|
|
|
28 |
Electronic structure of magnetic cuprates
Kononenko, Denys. - Dresden, 2024
|
|
|
|
29 |
Enhancing lower-limb movement efficiency via integration of machine learning and soft wearable robotics
Zhang, Xiaohui. - Heidelberg, [2024]
|
|
|
|
30 |
Entwicklung eines Vorgehensmodells zur Generierung einer Datengrundlage für den Einsatz von Machine Learning Methoden im Bereich der Absatzprognose von Anlaufprodukten - am Beispiel der Konsumgüterindustrie
Moroff, Nikolas. - Dortmund : Praxiswissen Service UG, [2024]
|
|
Administration
