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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

32861 - 32870 von 33359
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Artikel 32861 Use of machine learning-based classification algorithms in the monitoring of Land Use and Land Cover practices in a hilly terrain
Enthalten in Environmental monitoring and assessment Bd. 196, 5.12.2023, Nr. 1, date:1.2024: 1-21
Online Ressource
Artikel 32862 Use of machine learning-based integration to develop a monocyte differentiation-related signature for improving prognosis in patients with sepsis
Enthalten in Molecular medicine Bd. 29, 20.3.2023, Nr. 1, date:12.2023: 1-16
Online Ressource
Artikel 32863 Use of Machine Learning for Dosage Individualization of Vancomycin in Neonates
Enthalten in Clinical pharmacokinetics Bd. 62, 10.6.2023, Nr. 8, date:8.2023: 1105-1116
Online Ressource
Artikel 32864 Use of machine learning for risk stratification of chest pain patients in the emergency department
Enthalten in BMC medical informatics and decision making Bd. 25, 24.10.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 32865 Use of machine learning in the financial sector: an analysis of trends and the research agenda
Enthalten in Discover artificial intelligence Bd. 5, 22.10.2025, Nr. 1, date:12.2025: 1-31
Online Ressource
Artikel 32866 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
Online Ressource
Artikel 32867 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
Online Ressource
Artikel 32868 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
Online Ressource
Artikel 32869 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
Online Ressource
Artikel 32870 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
Online Ressource


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