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51 |
Datengetriebene Strukturierung von NC-Zerspanprozessen
Ochel, Janis. - Aachen : Apprimus Verlag, 2024, 1. Auflage
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52 |
[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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53 |
Development of new high-throughput approaches for machine-learning applications
Koswig, Timo. - Jena, [2024?]
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54 |
Digital transformation in healthcare 5.0 / Volume 2. Metaverse, nanorobots and machine learning
[2024]
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55 |
[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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56 |
Dynamic occupancy grid mapping with recurrent neural networks for autonomous driving
Schreiber, Marcel. - Ulm : Universität Ulm, 2024
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57 |
Electronic structure of magnetic cuprates
Kononenko, Denys. - Dresden, 2024
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58 |
Enhancing lower-limb movement efficiency via integration of machine learning and soft wearable robotics
Zhang, Xiaohui. - Heidelberg, [2024]
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59 |
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]
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60 |
Essays about artificial intelligence, deep learning, foundation models, and process mining
Föhr, Tassilo Lars. - Ulm, 2024
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Administration
