Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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43351 - 43360 von 43711

	43351	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
	43352	Using machine learning to identify gene interaction networks associated with breast cancer Enthalten in BMC cancer Bd. 22, 17.10.2022, Nr. 1, date:12.2022: 1-9
	43353	Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data Enthalten in Journal of neuroEngineering and rehabilitation Bd. 22, 2.6.2025, Nr. 1, date:12.2025: 1-18
	43354	Using machine learning to identify patients at high risk of developing low bone density or osteoporosis after gastrectomy: a 10-year multicenter retrospective analysis Enthalten in Journal of cancer research and clinical oncology Bd. 149, 28.10.2023, Nr. 19, date:12.2023: 17479-17493
	43355	Using machine learning to improve the accuracy of genomic prediction of reproduction traits in pigs Enthalten in Journal of animal science and biotechnology Bd. 13, 17.5.2022, Nr. 1, date:12.2022: 1-12
	43356	Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features Model Enthalten in Scientific reports Bd. 9, 12.3.2019, Nr. 1, date:12.2019: 1-15
	43357	Using machine learning to mine mental health diagnostic groups from emergency department presentations before and during the COVID-19 pandemic Enthalten in Discover mental health Bd. 3, 6.11.2023, Nr. 1, date:12.2023: 1-22
	43358	Using machine learning to predict artistic styles: an analysis of trends and the research agenda Enthalten in Artificial intelligence review Bd. 57, 15.4.2024, Nr. 5, date:5.2024: 1-66
	43359	Using machine learning to predict deterioration of symptoms in COPD patients within a telemonitoring program Enthalten in Scientific reports Bd. 15, 27.2.2025, Nr. 1, date:12.2025: 1-12
	43360	Using machine learning to predict factors affecting academic performance: the case of college students on academic probation Enthalten in Education and information technologies Bd. 28, 10.3.2023, Nr. 10, date:10.2023: 12407-12432

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