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27261 - 27270 von 32606

	27261	Modeling of aircraft fuel consumption using machine learning algorithms Enthalten in Confederation of European Aerospace Societies: CEAS Aeronautical Journal Bd. 11, 30.9.2019, Nr. 1, date:1.2020: 277-287
	27262	Modeling of Bayesian machine learning with sparrow search algorithm for cyberattack detection in IIoT environment Enthalten in Scientific reports Bd. 14, 26.11.2024, Nr. 1, date:12.2024: 1-25
	27263	Modeling of carbon dioxide absorption into aqueous alkanolamines using machine learning and response surface methodology Enthalten in Scientific reports Bd. 14, 14.10.2024, Nr. 1, date:12.2024: 1-34
	27264	Modeling of concrete-filled PVC tube columns confined with CFRP strips under uniaxial eccentric compression: machine learning and finite element approaches Enthalten in Journal of Big Data Bd. 12, 17.2.2025, Nr. 1, date:12.2025: 1-63
	27265	Modeling of energy and emission metrics of a turboshaft engine with hybrid algorithm involving machine learning and metaheuristic approaches Enthalten in Journal of thermal analysis and calorimetry Bd. 150, 8.8.2025, Nr. 17, date:9.2025: 13473-13488
	27266	Modeling of impact assessment of super cyclone Amphan with machine learning algorithms in Sundarban Biosphere Reserve, India Enthalten in Natural hazards Bd. 117, 1.4.2023, Nr. 2, date:6.2023: 1945-1968
	27267	Modeling of ionic liquids viscosity via advanced white-box machine learning Enthalten in Scientific reports Bd. 14, 15.4.2024, Nr. 1, date:12.2024: 1-18
	27268	Modeling of land use and land cover changes using google earth engine and machine learning approach: implications for landscape management Enthalten in Environmental Systems Research Bd. 13, 14.8.2024, Nr. 1, date:12.2024: 1-16
	27269	Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform Enthalten in Theoretical and applied climatology Bd. 154, 18.8.2023, Nr. 1-2, date:10.2023: 413-451
	27270	Modeling of Oil Bitumen Quality Parameters Using Machine Learning Algorithms Enthalten in Chemistry and technology of fuels and oils Bd. 59, 6.2.2024, Nr. 6, date:1.2024: 1156-1161

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