Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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43211 - 43220 von 43579

	43211	Using machine learning to estimate the incidence rate of intimate partner violence Enthalten in Scientific reports Bd. 13, 4.4.2023, Nr. 1, date:12.2023: 1-9
	43212	Using machine learning to examine the relationship between asthma and absenteeism Enthalten in Environmental monitoring and assessment Bd. 191, 28.6.2019, Nr. 2, date:6.2019: 1-9
	43213	Using machine learning to explore core risk factors associated with the risk of eating disorders among non-clinical young women in China: A decision-tree classification analysis Enthalten in Journal of eating disorders Bd. 10, 10.2.2022, Nr. 1, date:12.2022: 1-11
	43214	Using machine learning to explore the determinants of service satisfaction with online healthcare platforms during the COVID-19 pandemic Enthalten in Service business Bd. 17, 16.5.2023, Nr. 2, date:6.2023: 449-476
	43215	Using machine learning to explore the efficacy of administrative variables in prediction of subjective-wellbeing outcomes in New Zealand Enthalten in Scientific reports Bd. 15, 25.2.2025, Nr. 1, date:12.2025: 1-10
	43216	Using machine learning to find the hidden relationship between RTT and TCP throughput in WiFi Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2021, 20.12.2021, Nr. 1, date:12.2021: 1-18
	43217	Using machine learning to forecast conflict events for use in forced migration models Enthalten in Scientific reports Bd. 15, 2.8.2025, Nr. 1, date:12.2025: 1-14
	43218	Using machine learning to forecast domestic homicide via police data and super learning Enthalten in Scientific reports Bd. 13, 21.12.2023, Nr. 1, date:12.2023: 1-8
	43219	Using Machine Learning to Forecast Future Earnings Enthalten in Atlantic economic journal Bd. 48, 21.1.2021, Nr. 4, date:12.2020: 543-545
	43220	Using Machine Learning to Identify and Optimize Sensitive Parameters in Urban Flood Model Considering Subsurface Characteristics Enthalten in International journal of disaster risk science Bd. 15, 21.2.2024, Nr. 1, date:2.2024: 116-133

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