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Ergebnis der Suche nach: "Machine Learning"
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34001 - 34010 von 37108

	34001	Prediction of creep degradation in Fe-Cr-Ni single-crystal alloys for high-temperature applications: a molecular-dynamics and machine-learning approach Enthalten in Mechanics of time-dependent materials Bd. 29, 11.12.2024, Nr. 1, date:3.2025: 1-20
	34002	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
	34003	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
	34004	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
	34005	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
	34006	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
	34007	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.
	34008	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
	34009	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
	34010	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

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