Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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43131 - 43140 von 43625

	43131	Use of Machine Learning Methods to Analyze Patterns of Brain Activity during Assessment of the Self and Others Enthalten in Neuroscience and behavioral physiology Bd. 53, 25.11.2023, Nr. 7, date:9.2023: 1210-1218
	43132	Use of Machine Learning Models for Classification of Myographic Diseases Enthalten in Biomedical engineering Bd. 56, 12.1.2023, Nr. 5, date:1.2023: 353-357
	43133	Use of machine learning models for prediction of compressive strength of concrete produced with waste materials Enthalten in Innovative infrastructure solutions Bd. 10, 12.9.2025, Nr. 10, date:10.2025: 1-29
	43134	Use of machine learning models to predict prognosis of combined pulmonary fibrosis and emphysema in a Chinese population Enthalten in BMC pulmonary medicine Bd. 22, 29.8.2022, Nr. 1, date:12.2022: 1-11
	43135	Use of machine learning techniques for identifying ischemic stroke instead of the rule-based methods: a nationwide population-based study Enthalten in European journal of medical research Bd. 29, 3.1.2024, Nr. 1, date:12.2024: 1-9
	43136	Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa Enthalten in BMC medical research methodology Bd. 21, 31.7.2021, Nr. 1, date:12.2021: 1-11
	43137	Use of machine learning to analyse routinely collected intensive care unit data: a systematic review Enthalten in Critical care Bd. 23, 22.8.2019, Nr. 1, date:12.2019: 1-11
	43138	Use of machine learning to assess factors affecting progression, retention, and graduation in first-year health professions students in Qatar: a longitudinal study Enthalten in BMC medical education Bd. 23, 30.11.2023, Nr. 1, date:12.2023: 1-11
	43139	Use of machine learning to classify adult ADHD and other conditions based on the Conners’ Adult ADHD Rating Scales Enthalten in Scientific reports Bd. 10, 2.11.2020, Nr. 1, date:12.2020: 1-10
	43140	Use of machine learning to diagnose breast cancer from raw electrical impedance tomography data Enthalten in Biomedical engineering Bd. 58, 17.9.2024, Nr. 3, date:9.2024: 208-212

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