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Servicezeiten in Frankfurt am Main ab 1. Dezember 2025: Montag bis Freitag 9–18 Uhr und Samstag 10–16 Uhr
Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00

Leichte Bedienung, intuitive Suche: Die Betaversion unseres neuen Katalogs ist online! → Zur Betaversion des neuen DNB-Katalogs

Die Lesesäle für Geisteswissenschaften, Naturwissenschaften, der Alte Lesesaal Technik und der Anne-Frank-Shoah-Lesesaal in Leipzig schließen am 04.02.2026 wegen einer Veranstaltung bereits um 15 Uhr. Die weiteren Lesesäle sowie die Servicetheke sind zu den regulären Zeiten geöffnet. //
The humanities reading room, the natural science reading room, the old technology reading room and the reading room of the Anne-Frank-Shoah-Library will close at 15:00 on 4 February 2026 due to an event. The other reading rooms and the service desk will be open during regular hours.

Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

42421 - 42430 von 42549

	42421	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
	42422	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.
	42423	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
	42424	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
	42425	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
	42426	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
	42427	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
	42428	Water quality parameters retrieval and nutrient status evaluation based on machine learning methods and Sentinel- 2 imagery: a case study of the Hongjiannao Lake Enthalten in Environmental monitoring and assessment Bd. 197, 15.4.2025, Nr. 5, date:5.2025: 1-17
	42429	Water Quality Prediction Method Coupling Mechanism Model and Machine Learning for Water Diversion Projects with a Lack of Data Enthalten in Water resources management Bd. 39, 24.3.2025, Nr. 7, date:5.2025: 3015-3030
	42430	Water-saving control system based on multiple intelligent algorithms Enthalten in Autonomous intelligent systems Bd. 4, 4.7.2024, Nr. 1, date:12.2024: 1-9