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

36851 - 36860 von 37157
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Artikel 36851 Using machine learning to predict links and improve Steiner tree solutions to team formation problems - a cross company study
Enthalten in Applied network science Bd. 5, 27.8.2020, Nr. 1, date:12.2020: 1-19
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Artikel 36852 Using machine learning to predict nosocomial infections and medical accidents in a NICU
Enthalten in Health and Technology Bd. 13, 17.1.2023, Nr. 1, date:1.2023: 75-87
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Artikel 36853 Using machine learning to predict outcomes following transcarotid artery revascularization
Enthalten in Scientific reports Bd. 15, 31.1.2025, Nr. 1, date:12.2025: 1-18
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Artikel 36854 Using machine learning to predict processes and morphometric features of watershed
Enthalten in Scientific reports Bd. 13, 25.5.2023, Nr. 1, date:12.2023: 1-17
Online Ressource
Artikel 36855 Using machine learning to predict protein–protein interactions between a zombie ant fungus and its carpenter ant host
Enthalten in Scientific reports Bd. 13, 24.8.2023, Nr. 1, date:12.2023: 1-16
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Artikel 36856 Using Machine Learning to Predict Sensorineural Hearing Loss Based on Perilymph Micro RNA Expression Profile
Enthalten in Scientific reports Bd. 9, 4.3.2019, Nr. 1, date:12.2019: 1-11
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Artikel 36857 Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics
Enthalten in Scientific reports Bd. 13, 7.4.2023, Nr. 1, date:12.2023: 1-16
Online Ressource
Artikel 36858 Using machine learning to predict subsequent events after EMS non-conveyance decisions
Enthalten in BMC medical informatics and decision making Bd. 22, 23.6.2022, Nr. 1, date:12.2022: 1-12
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Artikel 36859 Using machine learning to predict the probability of incident 2-year depression in older adults with chronic diseases: a retrospective cohort study
Enthalten in BMC psychiatry Bd. 24, 2.12.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 36860 Using Machine Learning to Predict the Prognosis of Cervical Cancer Patients with Lymph Node Metastasis: An Analysis Based on the SEER Database
Enthalten in Reproductive sciences Bd. 32, 7.4.2025, Nr. 6, date:6.2025: 1851-1863
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