Katalog der Deutschen Nationalbibliothek

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

17831 - 17840 von 17898

	17831	Visualization of hydrocarbon chain length and degree of saturation of fatty acids in mouse livers by combining near-infrared hyperspectral imaging and machine learning Enthalten in Scientific reports Bd. 13, 23.11.2023, Nr. 1, date:12.2023: 1-10
	17832	Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning Enthalten in BMC medical informatics and decision making Bd. 25, 3.6.2025, Nr. 1, date:12.2025: 1-15
	17833	ViT-SENet-Tom: machine learning-based novel hybrid squeeze–excitation network and vision transformer framework for tomato fruits classification Enthalten in Neural computing & applications Bd. 37, 20.1.2025, Nr. 9, date:3.2025: 6583-6600
	17834	VNIR–SWIR reflectance spectroscopy as a nondestructive technique for compositional determination of archaeological talc samples with a machine learning approach Enthalten in Archaeological and anthropological sciences Bd. 16, 4.6.2024, Nr. 7, date:7.2024: 1-15
	17835	Voice biomarkers as prognostic indicators for Parkinson’s disease using machine learning techniques Enthalten in Scientific reports Bd. 15, 9.4.2025, Nr. 1, date:12.2025: 1-17
	17836	Volcanic clouds detection applying machine learning techniques to GNSS radio occultations Enthalten in GPS solutions Bd. 28, 29.4.2024, Nr. 3, date:7.2024: 1-11
	17837	Volcano activity classification from synergy of EO data and machine learning: an application to Mount Etna volcano (Italy) Enthalten in Discover applied sciences Bd. 7, 22.6.2025, Nr. 7, date:7.2025: 1-16
	17838	Von manuell zu maschinell: Erfolgsfaktoren bei der Einführung automatisierter Führungssysteme Enthalten in HMD Bd. 62, 29.11.2024, Nr. 1, date:2.2025: 43-58
	17839	Vorhersage der Fließgewässertemperaturen in österreichischen Einzugsgebieten mittels Machine Learning-Verfahren Enthalten in Österreichische Wasser- und Abfallwirtschaft Bd. 73, 20.5.2021, Nr. 7-8, date:8.2021: 308-328
	17840	Vorwort der Herausgeber Enthalten in Wirtschafts- und sozialstatistisches Archiv Bd. 18, 18.10.2024, Nr. 2, date:6.2024: 127-130