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12161 - 12170 von 15140

	12161	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
	12162	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
	12163	Modellentwicklung und maschinelles Lernen erhöhen die Proteinausbeute Enthalten in Biospektrum Bd. 26, 14.5.2020, Nr. 3, date:5.2020: 262-264
	12164	Modelling and parameter identification of coefficient of friction for deep-drawing quality steel sheets using the CatBoost machine learning algorithm and neural networks Enthalten in The international journal of advanced manufacturing technology Bd. 124, 8.12.2022, Nr. 7-8, date:2.2023: 2229-2259
	12165	Modelling and prediction of GNSS time series using GBDT, LSTM and SVM machine learning approaches Enthalten in Journal of geodesy Bd. 96, 27.9.2022, Nr. 10, date:10.2022: 1-17
	12166	Modelling atomic and nanoscale structure in the silicon–oxygen system through active machine learning Enthalten in Nature Communications Bd. 15, 2.3.2024, Nr. 1, date:12.2024: 1-12
	12167	Modelling bluetongue and African horse sickness vector (Culicoides spp.) distribution in the Western Cape in South Africa using random forest machine learning Enthalten in Parasites & vectors Bd. 17, 21.8.2024, Nr. 1, date:12.2024: 1-18
	12168	Modelling chemical processes in explicit solvents with machine learning potentials Enthalten in Nature Communications Bd. 15, 20.7.2024, Nr. 1, date:12.2024: 1-11
	12169	Modelling of land use land cover changes using machine learning and GIS techniques: a case study in El-Fayoum Governorate, Egypt Enthalten in Environmental monitoring and assessment Bd. 195, 3.5.2023, Nr. 6, date:6.2023: 1-15
	12170	Modelling of pome fruit pollen performance using machine learning Enthalten in Scientific reports Bd. 15, 26.2.2025, Nr. 1, date:12.2025: 1-9

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