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

19081 - 19090 von 19161

	19081	Virtual reality (VR) as a testing bench for consumer optical solutions: a machine learning approach (GBR) to visual comfort under simulated progressive addition lenses (PALs) distortions Enthalten in Virtual reality Bd. 28, 30.1.2024, Nr. 1, date:3.2024: 1-13
	19082	Virtual screening of anti-HIV1 compounds against SARS-CoV-2: machine learning modeling, chemoinformatics and molecular dynamics simulation based analysis Enthalten in Scientific reports Bd. 10, 23.11.2020, Nr. 1, date:12.2020: 1-12
	19083	Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches Enthalten in BMC complementary medicine and therapies Bd. 22, 3.8.2022, Nr. 1, date:12.2022: 1-19
	19084	Vision-based Propeller Damage Inspection Using Machine Learning Enthalten in Embedded selforganising systems Bd. 10, 26.07.2023, Nr. 7
	19085	Visual acuity prediction on real-life patient data using a machine learning based multistage system Enthalten in Scientific reports Bd. 14, 6.3.2024, Nr. 1, date:12.2024: 1-18
	19086	Visualization obesity risk prediction system based on machine learning Enthalten in Scientific reports Bd. 14, 28.9.2024, Nr. 1, date:12.2024: 1-9
	19087	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
	19088	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
	19089	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
	19090	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