Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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34901 - 34910 von 36394

	34901	Solving the spatial extrapolation problem in flood susceptibility using hybrid machine learning, remote sensing, and GIS Enthalten in Environmental science and pollution research Bd. 31, 13.2.2024, Nr. 12, date:3.2024: 18701-18722
	34902	Some Methods for Substantiating Diagnostic Decisions Made Using Machine Learning Algorithms Enthalten in Biomedical engineering Bd. 55, 7.3.2022, Nr. 6, date:3.2022: 442-447
	34903	SONAR IMAGE RECOGNITION BASED ON MACHINE LEARNING FRAMEWORK Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVI-3/W1-2022, 2022: 45-51. 7 S.
	34904	SonicParanoid2: fast, accurate, and comprehensive orthology inference with machine learning and language models Enthalten in Genome biology Bd. 25, 25.7.2024, Nr. 1, date:12.2024: 1-18
	34905	Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan Enthalten in Scientific reports Bd. 15, 6.2.2025, Nr. 1, date:12.2025: 1-16
	34906	Sortierung von Mehrschichtfolien durch Anwendung von Transflektion und Machine-Learning-Ansätzen Enthalten in Österreichische Wasser- und Abfallwirtschaft Bd. 76, 14.11.2023, Nr. 1-2, date:2.2024: 42-50
	34907	Sortierverfahren für die kombinierte maschinelle und visuelle Festigkeitssortierung Enthalten in Holz als Roh- und Werkstoff Bd. 62, 7.7.2004, Nr. 5, date:10.2004: 325-334
	34908	SoundLab AI-Machine learning for sound insulation value predictions of various glass assemblies Enthalten in Glass structures & engineering Bd. 7, 1.2.2022, Nr. 1, date:4.2022: 101-118
	34909	Soundtrack Success: Unveiling Song Popularity Patterns Using Machine Learning Implementation Enthalten in SN Computer Science Bd. 5, 21.2.2024, Nr. 3, date:3.2024: 1-11
	34910	Source Apportionment of Particulate Matter by Application of Machine Learning Clustering Algorithms Enthalten in Aerosol and Air Quality Research Bd. 22, 27.1.2022, Nr. 3, date:3.2022: 1-13