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12131 - 12140 von 15138

	12131	Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms Enthalten in Friction Bd. 12, 2.4.2024, Nr. 6, date:6.2024: 1322-1340
	12132	Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media Enthalten in Scientific reports Bd. 10, 7.8.2020, Nr. 1, date:12.2020: 1-13
	12133	Modeling based on machine learning to investigate flue gas desulfurization performance by calcium silicate absorbent in a sand bed reactor Enthalten in Scientific reports Bd. 14, 10.1.2024, Nr. 1, date:12.2024: 1-20
	12134	Modeling climate change impacts and predicting future vulnerability in the Mount Kenya forest ecosystem using remote sensing and machine learning Enthalten in Environmental monitoring and assessment Bd. 197, 6.5.2025, Nr. 6, date:6.2025: 1-21
	12135	Modeling clinopyroxene-liquid trace element partition coefficients in the upper mantle: pioneering a machine learning approach Enthalten in Contributions to mineralogy and petrology Bd. 180, 3.6.2025, Nr. 6, date:6.2025: 1-19
	12136	Modeling crude oil pyrolysis process using advanced white-box and black-box machine learning techniques Enthalten in Scientific reports Bd. 13, 19.12.2023, Nr. 1, date:12.2023: 1-18
	12137	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
	12138	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
	12139	Modeling liquid rate through wellhead chokes using machine learning techniques Enthalten in Scientific reports Bd. 14, 23.3.2024, Nr. 1, date:12.2024: 1-19
	12140	Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data Enthalten in Plant methods Bd. 15, 4.2.2019, Nr. 1, date:12.2019: 1-19

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