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12151 - 12160 von 15138

	12151	Modeling retroreflectivity degradation of pavement markings across the US with advanced machine learning algorithms Enthalten in Journal of infrastructure preservation and resilience Bd. 5, 21.2.2024, Nr. 1, date:12.2024: 1-19
	12152	Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods Enthalten in Scientific reports Bd. 15, 2.1.2025, Nr. 1, date:12.2025: 1-15
	12153	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
	12154	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
	12155	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
	12156	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
	12157	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
	12158	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
	12159	Modeling the trend of coronavirus disease 2019 and restoration of operational capability of metropolitan medical service in China: a machine learning and mathematical model-based analysis Enthalten in Global health research and policy Bd. 5, 6.5.2020, Nr. 1, date:12.2020: 1-11
	12160	Modeling the viscoelastic behavior of a FG nonlocal beam with deformable boundaries based on hybrid machine learning and semi-analytical approaches Enthalten in Archive of applied mechanics Bd. 95, 20.3.2025, Nr. 4, date:4.2025: 1-32

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