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Ergebnis der Suche nach: "Machine Learning"
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Online Ressourcen 661 Vervielfältigungen und die Text- und Data-Mining-Schranke beim Training von (generativer) Künstlicher Intelligenz
Konertz, Roman. - Hagen : FernUniversität in Hagen, 2024
Online Ressource
Online Ressourcen 662 Virtually augmented radar measurements with hardware radar target simulators for machine learning applications
Kern, Nicolai. - Ulm : Universität Ulm, 2024
Online Ressource
Online Ressourcen 663 Where is the human got to go? Artificial intelligence, machine learning, big data, digitalisation, and human–robot interaction in Industry 4.0 and 5.0 : Review Comment on: Bauer, M. (2020). Preise kalkulieren mit KI-gestützter Onlineplattform BAM GmbH, Weiden, Bavaria, Germany
Vogt, Joachim. - Darmstadt : Universitäts- und Landesbibliothek, 2024
Online Ressource
Online Ressourcen 664 Will they stay or will they go? application of machine learning classifiers of purchase and churn prediction to a digital journalistic platform
Kunz, Reinhard E.. - Weimar : Bauhaus-Universität Weimar, 2024
Online Ressource
Artikel 665 Dash: Accelerating Distributed Private Convolutional Neural Network Inference with Arithmetic Garbled Circuits
Enthalten in IACR transactions on cryptographic hardware and embedded systems Bd. 2025, 2024, Nr. 1
Online Ressource
Artikel 666 FANNG-MPC: Framework for Artificial Neural Networks and Generic MPC
Enthalten in IACR transactions on cryptographic hardware and embedded systems Bd. 2025, 2024, Nr. 1
Online Ressource
Artikel 667 Generalized Power Attacks against Crypto Hardware using Long-Range Deep Learning
Enthalten in IACR transactions on cryptographic hardware and embedded systems Bd. 2024, 2024, Nr. 3
Online Ressource
Artikel 668 SHAPER: A General Architecture for Privacy-Preserving Primitives in Secure Machine Learning
Enthalten in IACR transactions on cryptographic hardware and embedded systems Bd. 2024, 2024, Nr. 2
Online Ressource
Artikel 669 A hybrid approach to enhance streamflow simulation in data-constrained Himalayan basins: combining the Glacio-hydrological Degree-day Model and recurrent neural networks
Enthalten in International Association of Hydrological Sciences: Proceedings of the International Association of Hydrological Sciences Bd. 387, 2024: 17-24. 8 S.
Online Ressource
Artikel 670 Assessing the Accuracy of Multiple Classification Algorithms Combining Sentinel-1 and Sentinel-2 for the Citrus Crop Classification and spatialization of the Actual Evapotranspiration Obtained from Flux Tower Eddy Covariance: Case Study of Cap Bon, Tunisia
Enthalten in International Association of Hydrological Sciences: Proceedings of the International Association of Hydrological Sciences Bd. 385, 2024: 443-448. 6 S.
Online Ressource


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