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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

20101 - 20110 von 20123

	20101	Wind speed and power forecasting using Bayesian optimized machine learning models in Gabal Al-Zayt, Egypt Enthalten in Scientific reports Bd. 15, 5.8.2025, Nr. 1, date:12.2025: 1-25
	20102	Wind speed prediction based on variational mode decomposition and advanced machine learning models in zaafarana, Egypt Enthalten in Scientific reports Bd. 15, 4.5.2025, Nr. 1, date:12.2025: 1-12
	20103	Wind speed prediction for site selection and reliable operation of wind power plants in coastal regions using machine learning algorithm variants Enthalten in Sustainable energy research Bd. 11, 1.2.2024, Nr. 1, date:12.2024: 1-26
	20104	Wing Interferential Patterns (WIPs) and machine learning for the classification of some Aedes species of medical interest Enthalten in Scientific reports Bd. 13, 17.10.2023, Nr. 1, date:12.2023: 1-12
	20105	Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identification Enthalten in Scientific reports Bd. 12, 22.11.2022, Nr. 1, date:12.2022: 1-15
	20106	Winning determinants between top and second division in Chinese professional football leagues: an interpretable machine learning approach Enthalten in BMC sports science, medicine & rehabilitation Bd. 17, 21.4.2025, Nr. 1, date:12.2025: 1-11
	20107	With super SDMs (machine learning, open access big data, and the cloud) towards more holistic global squirrel hotspots and coldspots Enthalten in Scientific reports Bd. 14, 3.3.2024, Nr. 1, date:12.2024: 1-10
	20108	WOOD-LEAF UNSUPERVISED CLASSIFICATION OF SILVER BIRCH TREES FOR BIOMASS ASSESSMENT USING OBLIQUE POINT CLOUDS Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 1795-1802. 8 S.
	20109	WorMachine: machine learning-based phenotypic analysis tool for worms Enthalten in BMC biology Bd. 16, 16.1.2018, Nr. 1, date:12.2018: 1-11
	20110	Wrist accelerometry and machine learning sensitively capture disease progression in prodromal Parkinson’s disease Enthalten in npj Parkinson's Disease Bd. 11, 17.6.2025, Nr. 1, date:12.2025: 1-7