Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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33021 - 33030 von 33404

	33021	Using Machine Learning Techniques to Test the Load Capacity Curve Hypothesis: A Classifier-Lasso Application on Global Panel Data Enthalten in Biophysical economics and sustainability Bd. 10, 19.2.2025, Nr. 1, date:6.2025: 1-18
	33022	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
	33023	Using machine learning to automate the collection, transcription, and analysis of verbal-report data Enthalten in Behavior research methods Bd. 57, 12.9.2025, Nr. 10, date:10.2025: 1-22
	33024	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
	33025	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
	33026	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
	33027	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
	33028	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
	33029	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
	33030	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

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