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

38811 - 38820 von 38958
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Artikel 38811 Vision-based image similarity measurement for image search similarity
Enthalten in International journal of information technology Bd. 15, 19.9.2023, Nr. 8, date:12.2023: 4125-4130
Online Ressource
Artikel 38812 Vision-based Propeller Damage Inspection Using Machine Learning
Enthalten in Embedded selforganising systems Bd. 10, 26.07.2023, Nr. 7
Online Ressource
Artikel 38813 Visit-to-visit blood pressure variability and clinical outcomes in peritoneal dialysis – based on machine learning algorithms
Enthalten in Hypertension research Bd. 48, 21.2.2025, Nr. 5, date:5.2025: 1702-1715
Online Ressource
Artikel 38814 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
Online Ressource
Artikel 38815 Visual tools for teaching machine learning in K-12: A ten-year systematic mapping
Enthalten in Education and information technologies Bd. 26, 1.5.2021, Nr. 5, date:9.2021: 5733-5778
Online Ressource
Artikel 38816 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
Online Ressource
Artikel 38817 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
Online Ressource
Artikel 38818 Visualization system of Hlai ethnic village landscape design based on machine learning
Enthalten in Soft computing Bd. 27, 20.4.2023, Nr. 14, date:7.2023: 10001-10011
Online Ressource
Artikel 38819 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
Online Ressource
Artikel 38820 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
Online Ressource


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