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Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.

Ergebnis der Suche nach: "Machine Learning"
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38641 - 38650 von 38810

	38641	Versatile time-window sliding machine learning techniques for stock market forecasting Enthalten in Artificial intelligence review Bd. 57, 16.7.2024, Nr. 8, date:8.2024: 1-20
	38642	Versicherungen: Von Natur aus für Künstliche Intelligenz geeignet Enthalten in Wirtschaftsinformatik & Management Bd. 10, 17.8.2018, Nr. 4, date:8.2018: 104-111
	38643	Vertrauenswürdige KI in Action! Enthalten in Digitale Welt Bd. 6, 15.9.2022, Nr. 4, date:10.2022: 40-43
	38644	VERY HIGH RESOLUTION LAND USE AND LAND COVER MAPPING USING PLEIADES-1 STEREO IMAGERY AND MACHINE LEARNING Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B2-2020, 2020: 675-682
	38645	VGG16-PCA-PB3C: A hybrid PB3C and deep neural network based approach for leukemia detection Enthalten in International journal of information technology Bd. 16, 18.6.2024, Nr. 6, date:8.2024: 3605-3615
	38646	Vibration analysis for fault detection in wind turbines using machine learning techniques Enthalten in Advances in computational intelligence Bd. 2, 10.1.2022, Nr. 1, date:2.2022: 1-12
	38647	Vibration-based Damage Detection in Bridges via Machine Learning Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 22, 12.11.2018, Nr. 12, date:12.2018: 5123-5132
	38648	Vibration-based water leakage detection system for public open data platforms Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W10-2024, 2024: 71-76. 6 S.
	38649	Vibration properties of Paulownia wood for Ruan sound quality using machine learning methods Enthalten in Journal of forestry research Bd. 35, 7.12.2023, Nr. 1, date:12.2024: 1-7
	38650	Vickers hardness prediction from machine learning methods Enthalten in Scientific reports Bd. 12, 28.12.2022, Nr. 1, date:12.2022: 1-12

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