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Ergebnis der Suche nach: tit all "Machine Learning Techniques"
im Bestand: Gesamter Bestand

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Online Ressourcen 1 Identification and prediction of association patterns between nutrient intake and anemia using machine learning techniques: results from a cross-sectional study with university female students from Palestine
Qasrawi, Radwan. - Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2024
Online Ressource
Online Ressourcen 2 Implementing machine learning techniques for continuous emotion prediction from uniformly segmented voice recordings
Diemerling, Hannes. - Berlin : Humboldt-Universität zu Berlin, 2024
Online Ressource
Online Ressourcen 3 Improved carbide volume fraction estimation in as-cast HCCI alloys using machine learning techniques
Nayak, U. Pranav. - Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2024
Online Ressource
Online Ressourcen 4 Machine learning with computer networks: techniques, datasets, and models
Afifi, Haitham. - Augsburg : Universität Augsburg, 2024
Online Ressource
Online Ressourcen 5 Machine learning with computer networks: techniques, datasets, and models
Afifi, Haitham. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2024
Online Ressource
Artikel 6 Geochemical discrimination of pyrite in diverse ore deposit types through statistical analysis and machine learning techniques
Enthalten in American mineralogist Bd. 109, 2024, Nr. 5: 846-857. 12 S.
Online Ressource
Artikel 7 Epileptic EEG patterns recognition through machine learning techniques and relevant time–frequency features
Enthalten in Biomedical engineering Bd. 69, 2024, Nr. 2: 111-123. 13 S.
Online Ressource
Artikel 8 Review of Machine Learning Techniques in Soft Tissue Biomechanics and Biomaterials
Enthalten in Cardiovascular engineering and technology 2.7.2024: 1-28
Online Ressource
Artikel 9 Temporal analysis of topic modeling output by machine learning techniques
Enthalten in International journal of data science and analytics 2.7.2024: 1-51
Online Ressource
Artikel 10 The geospatial modelling of vegetation carbon storage analysis in Google earth engine using machine learning techniques
Enthalten in Earth science informatics 27.6.2024: 1-14
Online Ressource


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