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

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Artikel 26771 Machine learning techniques for identification of carcinogenic mutations, which cause breast adenocarcinoma
Enthalten in Scientific reports Bd. 12, 11.7.2022, Nr. 1, date:12.2022: 1-15
Online Ressource
Artikel 26772 Machine learning techniques for independent gait recovery prediction in acute anterior circulation ischemic stroke
Enthalten in Journal of neuroEngineering and rehabilitation Bd. 22, 1.2.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 26773 MACHINE LEARNING TECHNIQUES FOR KNOWLEDGE EXTRACTION FROM SATELLITE IMAGES: APPLICATION TO SPECIFIC AREA TYPES
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2021, 2021: 455-462. 8 S.
Online Ressource
Artikel 26774 Machine learning techniques for lipid nanoparticle formulation
Enthalten in Nano Convergence Bd. 12, 15.7.2025, Nr. 1, date:12.2025: 1-13
Online Ressource
Artikel 26775 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 26776 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 26777 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 26778 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 26779 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 26780 Machine learning techniques for prediction of failure loads and fracture characteristics of high and ultra-high strength concrete beams
Enthalten in Innovative infrastructure solutions Bd. 8, 27.7.2023, Nr. 8, date:8.2023: 1-20
Online Ressource


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