Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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43581 - 43590 von 43711

	43581	Warum wir immer noch am Anfang sind Enthalten in Digitale Welt Bd. 4, 3.6.2020, Nr. 3, date:7.2020: 18-20
	43582	Was kann digitales Versichern? — Künstliche Intelligenz und Maschinenlernen auf dem Vertrauensprüfstand Enthalten in Digitale Welt Bd. 5, 11.6.2021, Nr. 3, date:7.2021: 61-62
	43583	Was wirklich bleibt: KI und deren praktische Anwendung Enthalten in Digitale Welt Bd. 6, 15.9.2022, Nr. 4, date:10.2022: 52-55
	43584	Wasserstein-based fairness interpretability framework for machine learning models Enthalten in Machine learning Bd. 111, 21.7.2022, Nr. 9, date:9.2022: 3307-3357
	43585	Waste Management using AI: Optimizing Sustainability through Innovation Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-5/W2-2025, 2025: 549-556. 8 S.
	43586	Wastewater treatment plant site selection using advanced decision tree machine learning and remote sensing techniques Enthalten in Environmental science and pollution research Bd. 32, 16.12.2024, Nr. 1, date:1.2025: 234-247
	43587	Water jet angle prediction in supersonic crossflows: Euler–Lagrange and machine learning approaches Enthalten in The European physical journal / Plus Bd. 139, 14.3.2024, Nr. 3, date:3.2024: 1-21
	43588	Water Quality Evaluation and Monitoring Model (WQEM) Using Machine Learning Techniques with IoT Enthalten in Water resources Bd. 51, 19.11.2024, Nr. 6, date:12.2024: 1094-1110
	43589	Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones for drinking activities Enthalten in Discover civil engineering Bd. 2, 1.8.2025, Nr. 1, date:12.2025: 1-53
	43590	Water quality monitoring and management: integration of machine learning algorithms and Sentinel-2 images for the estimation of Chlorophyll-a Enthalten in Modeling earth systems and environment Bd. 11, 19.7.2025, Nr. 5, date:10.2025: 1-26

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