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27081 - 27090 von 32618

	27081	Measuring particle size distribution of ground coffee using computer vision Enthalten in International journal of information technology Bd. 15, 13.7.2023, Nr. 6, date:8.2023: 2961-2967
	27082	Measuring Tailings Storage Facility Bathymetry Using Sentinel-2 and Landsat-8/9 Multispectral Imagery and Machine Learning Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-M-4-2024, 2024: 63-69. 7 S.
	27083	Measuring the Hubble constant with cosmic chronometers: a machine learning approach Enthalten in The European physical journal / C / Particles and fields Bd. 83, 29.6.2023, Nr. 6, date:6.2023: 1-13
	27084	Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction Enthalten in Financial innovation Bd. 8, 12.7.2022, Nr. 1, date:12.2022: 1-35
	27085	Measuring the prediction difficulty of individual cases in a dataset using machine learning Enthalten in Scientific reports Bd. 14, 7.5.2024, Nr. 1, date:12.2024: 1-15
	27086	Mechanical characterization of marl soil treated by cement and lignosulfonate under freeze–thaw cycles: experimental studies and machine-learning modeling Enthalten in Bulletin of engineering geology and the environment Bd. 82, 5.5.2023, Nr. 6, date:6.2023: 1-26
	27087	Mechanical degradations of Fe–C alloys induced by stress corrosion in supercritical CO2 environments: a study based on molecular dynamics simulation and machine learning Enthalten in Journal of materials science Bd. 59, 24.9.2024, Nr. 37, date:10.2024: 17609-17624
	27088	Mechanical properties and machine learning analysis of concrete incorporating waste glass as coarse aggregate Enthalten in Discover sustainability Bd. 6, 7.6.2025, Nr. 1, date:12.2025: 1-12
	27089	Mechanism design for public projects via three machine learning based approaches Enthalten in Autonomous agents and multi-agent systems Bd. 38, 20.4.2024, Nr. 1, date:6.2024: 1-30
	27090	Mechanisms of sand production, prediction–a review and the potential for fiber optic technology and machine learning in monitoring Enthalten in Journal of petroleum exploration and production technology Bd. 14, 14.8.2024, Nr. 10, date:10.2024: 2577-2616

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