Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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43221 - 43230 von 43629

	43221	Using machine learning methods to predict electric vehicles penetration in the automotive market Enthalten in Scientific reports Bd. 13, 23.5.2023, Nr. 1, date:12.2023: 1-16
	43222	Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU Enthalten in BMC medical informatics and decision making Bd. 20, 2.10.2020, Nr. 1, date:12.2020: 1-10
	43223	Using Machine Learning Methods to Predict the Ductile-to-Brittle Transition Temperature Shift in RPV Steel Under Different Pulse Current Parameters Enthalten in Acta metallurgica Sinica / English letters Bd. 38, 24.4.2025, Nr. 6, date:6.2025: 1029-1040
	43224	Using Machine Learning Methods to Predict the Magnitude and the Direction of Mask Fragments Displacement in Optical Proximity Correction (OPC) Enthalten in Optical memory and neural networks Bd. 30, 29.12.2021, Nr. 4, date:10.2021: 291-297
	43225	Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction Enthalten in Scientific reports Bd. 13, 22.12.2023, Nr. 1, date:12.2023: 1-13
	43226	Using machine learning models based on cardiac magnetic resonance parameters to predict the prognostic in children with myocarditis Enthalten in BMC pediatrics Bd. 25, 24.5.2025, Nr. 1, date:12.2025: 1-12
	43227	Using machine learning models to improve stroke risk level classification methods of China national stroke screening Enthalten in BMC medical informatics and decision making Bd. 19, 10.12.2019, Nr. 1, date:12.2019: 1-7
	43228	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
	43229	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
	43230	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

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