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61 |
Data-driven protein engineering Siedhoff, Niklas. - Aachen, [2024]
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62 |
Data science and reliable machine learning CODASSCA (Veranstaltung (4. : 2024 : Jerewan). - Berlin : Logos Verlag Berlin, 2024
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63 |
Data science training - supervised learning Selle, Stefan. - Berlin, Germany : Springer Vieweg, [2024]
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64 |
Datengetriebene Strukturierung von NC-Zerspanprozessen Ochel, Janis. - Aachen : Apprimus Verlag, 2024, 1. Auflage
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65 |
[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
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66 |
Development of new high-throughput approaches for machine-learning applications Koswig, Timo. - Jena, [2024?]
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67 |
Digital transformation in healthcare 5.0 / Volume 2. Metaverse, nanorobots and machine learning [2024]
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68 |
[DIN EN ISO/IEC 23053] DIN EN ISO/IEC 23053, Framework für Systeme der künstlichen Intelligenz (KI) basierend auf maschinellem Lernen (ML) (ISO/IEC 23053:2022) Berlin : DIN Media GmbH, September 2024, Deutsche Fassung EN ISO/IEC 23053:2023
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69 |
Dynamic occupancy grid mapping with recurrent neural networks for autonomous driving Schreiber, Marcel. - Ulm : Universität Ulm, 2024
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70 |
Electronic structure of magnetic cuprates Kononenko, Denys. - Dresden, 2024
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