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27221 - 27230 von 32569

	27221	Modeling dissolved oxygen concentration using machine learning techniques with dimensionality reduction approach Enthalten in Environmental monitoring and assessment Bd. 195, 24.6.2023, Nr. 7, date:7.2023: 1-23
	27222	Modeling equatorial ionospheric vertical plasma drifts using machine learning Enthalten in Earth, planets and space Bd. 72, 14.7.2020, Nr. 1, date:12.2020: 1-10
	27223	Modeling flood susceptibility zones using hybrid machine learning models of an agricultural dominant landscape of India Enthalten in Environmental science and pollution research Bd. 30, 18.8.2023, Nr. 43, date:9.2023: 97463-97485
	27224	Modeling forest-shrubland fire susceptibility based on machine learning and geospatial approaches in mountains of Kurdistan Region, Iraq Enthalten in Arabian journal of geosciences Bd. 15, 20.6.2022, Nr. 13, date:7.2022: 1-17
	27225	Modeling geothermal energy potential zones in the Bertoua region and surroundings with machine learning using descent gradient based on linear-regression model (Eastern Cameroon) Enthalten in Modeling earth systems and environment Bd. 10, 14.6.2024, Nr. 4, date:8.2024: 5293-5308
	27226	Modeling glass transition temperatures of epoxy systems: a machine learning study Enthalten in Journal of materials science Bd. 57, 22.7.2022, Nr. 29, date:8.2022: 13991-14002
	27227	Modeling Global Monkeypox Infection Spread Data: A Comparative Study of Time Series Regression and Machine Learning Models Enthalten in Current microbiology Bd. 81, 25.11.2023, Nr. 1, date:1.2024: 1-14
	27228	Modeling Groups of Pilotless Aircraft in Constructing the Optimal Route by Machine Learning Enthalten in Russian engineering research Bd. 42, 16.1.2023, Nr. 12, date:12.2022: 1312-1314
	27229	Modeling gully erosion susceptibility in Phuentsholing, Bhutan using deep learning and basic machine learning algorithms Enthalten in Environmental earth sciences Bd. 80, 2.4.2021, Nr. 8, date:4.2021: 1-21
	27230	Modeling Hydrological Responses of Watershed Under Climate Change Scenarios Using Machine Learning Techniques Enthalten in Water resources management Bd. 37, 11.9.2023, Nr. 13, date:10.2023: 5235-5254

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