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27261 - 27270 von 32569

	27261	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
	27262	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
	27263	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
	27264	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
	27265	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
	27266	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
	27267	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
	27268	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
	27269	Modeling the solubility of light hydrocarbon gases and their mixture in brine with machine learning and equations of state Enthalten in Scientific reports Bd. 12, 2.9.2022, Nr. 1, date:12.2022: 1-25
	27270	Modeling the spatial variation of calcium carbonate equivalent to depth using machine learning techniques Enthalten in Environmental monitoring and assessment Bd. 195, 25.4.2023, Nr. 5, date:5.2023: 1-16

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