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

36841 - 36850 von 37179
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Artikel 36841 Using machine learning to assist with the selection of security controls during security assessment
Enthalten in Empirical software engineering Bd. 25, 13.4.2020, Nr. 4, date:7.2020: 2550-2582
Online Ressource
Artikel 36842 Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials
Enthalten in Theoretical and applied genetics Bd. 137, 23.7.2024, Nr. 8, date:8.2024: 1-13
Online Ressource
Artikel 36843 Using machine learning to detect network intrusions in industrial control systems: a survey
Enthalten in International journal of information security Bd. 24, 8.11.2024, Nr. 1, date:2.2025: 1-16
Online Ressource
Artikel 36844 Using machine learning to detect the differential usage of novel gene isoforms
Enthalten in BMC bioinformatics Bd. 23, 18.1.2022, Nr. 1, date:12.2022: 1-16
Online Ressource
Artikel 36845 Using machine learning to determine age over 16 based on development of third molar and periodontal ligament of second molar
Enthalten in BMC oral health Bd. 23, 20.9.2023, Nr. 1, date:12.2023: 1-9
Online Ressource
Artikel 36846 Using machine learning to determine the correlation between physiological and environmental parameters and the induction of acute mountain sickness
Enthalten in BMC bioinformatics Bd. 22, 31.5.2022, Nr. 5, date:11.2021: 1-14
Online Ressource
Artikel 36847 Using machine learning to determine the time of exposure to infection by a respiratory pathogen
Enthalten in Scientific reports Bd. 13, 1.4.2023, Nr. 1, date:12.2023: 1-10
Online Ressource
Artikel 36848 Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study
Enthalten in BMC medical informatics and decision making Bd. 23, 11.6.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 36849 Using machine learning to develop a five-item short form of the children’s depression inventory
Enthalten in BMC public health Bd. 24, 23.4.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 36850 Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases
Enthalten in Scientific reports Bd. 14, 19.11.2024, Nr. 1, date:12.2024: 1-11
Online Ressource


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