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Ergebnis der Suche nach: "Machine Learning"
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Artikel 11871 Machine learning techniques for marine heatwave prediction: a comprehensive review
Enthalten in Intelligent marine technology and systems Bd. 3, 26.9.2025, Nr. 1, date:12.2025: 1-20
Online Ressource
Artikel 11872 Machine learning techniques for monitoring the sludge profile in a secondary settler tank
Enthalten in Applied water science Bd. 9, 20.7.2019, Nr. 6, date:8.2019: 1-11
Online Ressource
Artikel 11873 Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study
Enthalten in BMC medical research methodology Bd. 20, 20.10.2020, Nr. 1, date:12.2020: 1-12
Online Ressource
Artikel 11874 Machine learning techniques for non-destructive estimation of plum fruit weight
Enthalten in Scientific reports Bd. 15, 4.1.2025, Nr. 1, date:12.2025: 1-20
Online Ressource
Artikel 11875 Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models
Enthalten in Breast cancer research Bd. 21, 20.6.2019, Nr. 1, date:12.2019: 1-11
Online Ressource
Artikel 11876 Machine learning techniques for prediction of multiple sclerosis progression
Enthalten in Soft computing Bd. 26, 22.9.2022, Nr. 22, date:11.2022: 12041-12055
Online Ressource
Artikel 11877 Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review
Enthalten in Discover civil engineering Bd. 2, 1.5.2025, Nr. 1, date:12.2025: 1-21
Online Ressource
Artikel 11878 Machine learning techniques for reference evapotranspiration and rice irrigation requirements prediction: a case study of Kerian irrigation scheme, Malaysia
Enthalten in Paddy and water environment Bd. 23, 23.7.2025, Nr. 4, date:10.2025: 671-683
Online Ressource
Artikel 11879 Machine learning techniques for robotic and autonomous inspection of mechanical systems and civil infrastructure
Enthalten in Autonomous intelligent systems Bd. 2, 29.4.2022, Nr. 1, date:12.2022: 1-25
Online Ressource
Artikel 11880 Machine learning techniques for spatiotemporal traffic prediction in 5G cellular networks
Enthalten in Discover applied sciences Bd. 7, 23.9.2025, Nr. 10, date:10.2025: 1-35
Online Ressource


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