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

34061 - 34070 von 37173
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Artikel 34061 Prediction of creep properties of Co–10Al–9W superalloys with machine learning
Enthalten in Journal of materials science Bd. 59, 13.3.2024, Nr. 11, date:3.2024: 4571-4585
Online Ressource
Artikel 34062 Prediction of cross-sectional features of SPR joints based on the punch force-displacement curve using machine learning
Enthalten in The international journal of advanced manufacturing technology Bd. 128, 25.8.2023, Nr. 9-10, date:10.2023: 4023-4034
Online Ressource
Artikel 34063 Prediction of cytochrome P450-mediated bioactivation using machine learning models and in vitro validation
Enthalten in Archives of toxicology Bd. 98, 16.3.2024, Nr. 5, date:5.2024: 1457-1467
Online Ressource
Artikel 34064 Prediction of daily sea water temperature in Turkish seas using machine learning approaches
Enthalten in Arabian journal of geosciences Bd. 15, 19.10.2022, Nr. 21, date:11.2022: 1-19
Online Ressource
Artikel 34065 Prediction of damage potential in mainshock–aftershock sequences using machine learning algorithms
Enthalten in Earthquake engineering and engineering vibration Bd. 23, 8.10.2024, Nr. 4, date:10.2024: 919-938
Online Ressource
Artikel 34066 PREDICTION OF DEFORMATION CAUSED BY LANDSLIDES BASED ON GRAPH CONVOLUTION NETWORKS ALGORITHM AND DINSAR TECHNIQUE
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4/W1-2022, 2023: 391-397. 7 S.
Online Ressource
Artikel 34067 Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods
Enthalten in BMC medical informatics and decision making Bd. 15, 14.10.2015, Nr. 1, date:12.2015: 1-10
Online Ressource
Artikel 34068 Prediction of dengue outbreak in Selangor Malaysia using machine learning techniques
Enthalten in Scientific reports Bd. 11, 13.1.2021, Nr. 1, date:12.2021: 1-9
Online Ressource
Artikel 34069 Prediction of depression risk in middle-aged and elderly Cardiovascular-Kidney-Metabolic syndrome patients by social and environmental determinants of health: an interpretable machine learning approach using longitudinal data from China
Enthalten in Journal of health, population and nutrition Bd. 44, 4.6.2025, Nr. 1, date:12.2025: 1-15
Online Ressource
Artikel 34070 Prediction of depressive disorder using machine learning approaches: findings from the NHANES
Enthalten in BMC medical informatics and decision making Bd. 25, 17.2.2025, Nr. 1, date:12.2025: 1-12
Online Ressource


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