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

26271 - 26280 von 29583
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Artikel 26271 Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm
Enthalten in BMC medical informatics and decision making Bd. 22, 22.9.2022, Nr. 1, date:12.2022: 1-11
Online Ressource
Artikel 26272 Predicting the level of autism and improvement rate from assessment dataset using machine learning techniques
Enthalten in International journal of information technology Bd. 15, 6.3.2023, Nr. 3, date:3.2023: 1647-1652
Online Ressource
Artikel 26273 Predicting the magnitude of injection-induced earthquakes using machine learning techniques
Enthalten in Natural hazards Bd. 118, 23.5.2023, Nr. 1, date:8.2023: 545-570
Online Ressource
Artikel 26274 Predicting the Mechanical Properties of Polyurethane Elastomers Using Machine Learning
Enthalten in Chinese journal of polymer science Bd. 41, 8.10.2022, Nr. 3, date:3.2023: 422-431
Online Ressource
Artikel 26275 Predicting the Myocardial Infarction from Predictive Analytics Through Supervised Machine Learning
Enthalten in SN Computer Science Bd. 4, 29.4.2023, Nr. 4, date:7.2023: 1-11
Online Ressource
Artikel 26276 Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach
Enthalten in Translational Psychiatry Bd. 8, 5.11.2018, Nr. 1, date:12.2018: 1-11
Online Ressource
Artikel 26277 Predicting the necessity of oxygen therapy in the early stage of COVID-19 using machine learning
Enthalten in Medical & biological engineering & computing Bd. 60, 11.2.2022, Nr. 4, date:4.2022: 957-968
Online Ressource
Artikel 26278 Predicting the need for intubation in the first 24 h after critical care admission using machine learning approaches
Enthalten in Scientific reports Bd. 10, 1.12.2020, Nr. 1, date:12.2020: 1-8
Online Ressource
Artikel 26279 Predicting the optimum compositions of high-performance Cu–Zn alloys via machine learning
Enthalten in Journal of materials research Bd. 35, 1.10.2020, Nr. 20, date:10.2020: 2709-2717
Online Ressource
Artikel 26280 Predicting the outcomes of organic reactions via machine learning: are current descriptors sufficient?
Enthalten in Scientific reports Bd. 7, 15.6.2017, Nr. 1, date:12.2017: 1-9
Online Ressource


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