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Ergebnis der Suche nach: "Machine Learning"
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27221 - 27230 von 32527

	27221	Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-18
	27222	Modeling Soil pH at regional scale using environmental covariates and machine learning algorithm Enthalten in Environmental monitoring and assessment Bd. 197, 24.6.2025, Nr. 7, date:7.2025: 1-18
	27223	Modeling spatio-temporal land use dynamics in Amritsar district, Punjab, India using machine learning Enthalten in Spatial information research Bd. 33, 28.5.2025, Nr. 3, date:6.2025: 1-15
	27224	Modeling spatio-temporal locality in multi-step forecasting of geo-referenced time series Enthalten in Machine learning Bd. 114, 16.9.2025, Nr. 10, date:10.2025: 1-32
	27225	Modeling strength characteristics of basalt fiber reinforced concrete using multiple explainable machine learning with a graphical user interface Enthalten in Scientific reports Bd. 13, 12.8.2023, Nr. 1, date:12.2023: 1-15
	27226	Modeling the compression behavior of gyroid scaffolds produced by fused deposition modeling using machine learning Enthalten in The international journal of advanced manufacturing technology Bd. 138, 29.4.2025, Nr. 3-4, date:5.2025: 1221-1228
	27227	Modeling the compressive strength of concrete at different curing regimes using machine learning Enthalten in Discover sustainability Bd. 6, 1.5.2025, Nr. 1, date:12.2025: 1-26
	27228	Modeling the gasification process in producing raw gases and solids using machine learning techniques in combination with optimization algorithms Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 26.11.2024, Nr. 1, date:1.2025: 1-22
	27229	Modeling the indoor temperature depending on insulation thickness using machine learning methods Enthalten in The European physical journal / Plus Bd. 139, 9.10.2024, Nr. 10, date:10.2024: 1-17
	27230	Modeling the prediction of spontaneous rupture and bleeding in hepatocellular carcinoma via machine learning algorithms Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-11

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