Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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17771 - 17780 von 17985

	17771	Using machine-learning models to predict extubation failure in neonates with bronchopulmonary dysplasia Enthalten in BMC pulmonary medicine Bd. 24, 1.7.2024, Nr. 1, date:12.2024: 1-9
	17772	Using machine learning models to predict the impact of template mismatches on polymerase chain reaction assay performance Enthalten in Scientific reports Bd. 15, 9.5.2025, Nr. 1, date:12.2025: 1-11
	17773	Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis Enthalten in BMC medical informatics and decision making Bd. 20, 29.9.2020, Nr. 1, date:12.2020: 1-13
	17774	Using machine learning on clinical data to identify unexpected patterns in groups of COVID-19 patients Enthalten in Scientific reports Bd. 13, 8.2.2023, Nr. 1, date:12.2023: 1-11
	17775	Using machine learning prediction models for quality control: a case study from the automotive industry Enthalten in Computational management science Bd. 20, 16.3.2023, Nr. 1, date:12.2023: 1-28
	17776	Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review Enthalten in Diagnostic and prognostic research Bd. 4, 2.10.2020, Nr. 1, date:12.2020: 1-12
	17777	Using machine-learning strategies to solve psychometric problems Enthalten in Scientific reports Bd. 12, 7.11.2022, Nr. 1, date:12.2022: 1-9
	17778	Using machine learning techniques for rationalising phenotypic readouts from a rat sleeping model Enthalten in Journal of cheminformatics Bd. 5, 22.3.2013, Nr. 1, date:3.2013: 1
	17779	Using Machine Learning techniques in phenomenological studies on flavour physics Enthalten in Journal of high energy physics Bd. 2022, 19.7.2022, Nr. 7, date:7.2022: 1-43
	17780	USING MACHINE LEARNING TECHNIQUES TO FILTER VEGETATION IN COLORIZED SFM POINT CLOUDS OF SOIL SURFACES Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 163-170. 8 S.