Katalog der Deutschen Nationalbibliothek

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

16391 - 16400 von 16412

	16391	Wide dynamic range and real-time reagent identification and imaging using multi-wavelength terahertz parametric generation and machine learning Enthalten in Scientific reports Bd. 13, 7.8.2023, Nr. 1, date:12.2023: 1-8
	16392	Wildfire assessment using machine learning algorithms in different regions Enthalten in Fire ecology Bd. 20, 3.12.2024, Nr. 1, date:12.2024: 1-20
	16393	Wind farm sites selection using a machine learning approach and geographical information systems in Türkiye Enthalten in Discover computing Bd. 28, 27.3.2025, Nr. 1, date:12.2025: 1-18
	16394	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
	16395	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
	16396	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
	16397	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
	16398	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
	16399	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
	16400	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.