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

19081 - 19090 von 19306
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Artikel 19081 Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis
Enthalten in BMC medical informatics and decision making Bd. 20, 29.9.2020, Nr. 1, date:12.2020: 1-13
Online Ressource
Artikel 19082 Using machine learning on clinical data to identify unexpected patterns in groups of COVID-19 patients
Enthalten in Scientific reports Bd. 13, 8.2.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 19083 Using machine learning prediction models for quality control: a case study from the automotive industry
Enthalten in Computational management science Bd. 20, 16.3.2023, Nr. 1, date:12.2023: 1-28
Online Ressource
Artikel 19084 Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review
Enthalten in Diagnostic and prognostic research Bd. 4, 2.10.2020, Nr. 1, date:12.2020: 1-12
Online Ressource
Artikel 19085 Using machine-learning strategies to solve psychometric problems
Enthalten in Scientific reports Bd. 12, 7.11.2022, Nr. 1, date:12.2022: 1-9
Online Ressource
Artikel 19086 Using machine learning techniques for rationalising phenotypic readouts from a rat sleeping model
Enthalten in Journal of cheminformatics Bd. 5, 22.3.2013, Nr. 1, date:3.2013: 1
Online Ressource
Artikel 19087 Using Machine Learning techniques in phenomenological studies on flavour physics
Enthalten in Journal of high energy physics Bd. 2022, 19.7.2022, Nr. 7, date:7.2022: 1-43
Online Ressource
Artikel 19088 USING MACHINE LEARNING TECHNIQUES TO FILTER VEGETATION IN COLORIZED SFM POINT CLOUDS OF SOIL SURFACES
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 163-170. 8 S.
Online Ressource
Artikel 19089 Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks
Enthalten in Journal of Big Data Bd. 7, 24.8.2020, Nr. 1, date:12.2020: 1-16
Online Ressource
Artikel 19090 Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data
Enthalten in Scientific reports Bd. 14, 4.3.2024, Nr. 1, date:12.2024: 1-11
Online Ressource


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