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27361 - 27370 von 32705

	27361	Modeling of Spring Phenology of Boreal Forest by Coupling Machine Learning and Diurnal Temperature Indicators Enthalten in Chinese geographical science Bd. 35, 17.12.2024, Nr. 1, date:2.2025: 38-54
	27362	Modeling of the chaotic situation in the recruitment processes Enthalten in Advances in computational intelligence Bd. 3, 4.8.2023, Nr. 4, date:8.2023: 1-8
	27363	Modeling of the hot-deformation behavior of Fe-Ni-Al maraging steel using constitutive equations and machine learning algorithms Enthalten in Journal of materials science Bd. 59, 10.9.2024, Nr. 36, date:9.2024: 17237-17258
	27364	Modeling of the Tonal Noise Characteristics in a Foil Flow by using Machine Learning Enthalten in Optoelectronics, instrumentation and data processing Bd. 55, 14.6.2019, Nr. 2, date:3.2019: 205-211
	27365	Modeling of Transport Coefficients in Nonequilibrium High-Speed Flows Using Machine Learning Enthalten in Sankt-Peterburgskij gosudarstvennyj universitet: Vestnik / Mathematics Bd. 58, 6.8.2025, Nr. 3, date:9.2025: 428-437
	27366	Modeling of trees failure under windstorm in harvested Hyrcanian forests using machine learning techniques Enthalten in Scientific reports Bd. 11, 13.1.2021, Nr. 1, date:12.2021: 1-13
	27367	Modeling of two-stage anaerobic onsite wastewater sanitation system to predict effluent soluble chemical oxygen demand through machine learning Enthalten in Scientific reports Bd. 14, 21.1.2024, Nr. 1, date:12.2024: 1-14
	27368	Modeling protective action decision-making in earthquakes by using explainable machine learning and video data Enthalten in Scientific reports Bd. 14, 5.3.2024, Nr. 1, date:12.2024: 1-13
	27369	Modeling residue formation from crude oil oxidation using tree-based machine learning approaches Enthalten in Scientific reports Bd. 15, 19.7.2025, Nr. 1, date:12.2025: 1-18
	27370	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

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