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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

34011 - 34020 von 41309

	34011	Machine Learning-Based Prediction of Blast-Induced Ground Vibration in Open-Pit Mining Enthalten in Journal of vibration engineering & technologies Bd. 13, 9.5.2025, Nr. 5, date:6.2025: 1-14
	34012	Machine learning-based prediction of cadmium pollution in topsoil and identification of critical driving factors in a mining area Enthalten in Environmental geochemistry and health Bd. 46, 13.7.2024, Nr. 9, date:9.2024: 1-19
	34013	Machine learning based prediction of carbon concentration in carburized steel Enthalten in Scientific reports Bd. 15, 29.9.2025, Nr. 1, date:12.2025: 1-19
	34014	Machine-learning-based prediction of cardiovascular events for hyperlipidemia population with lipid variability and remnant cholesterol as biomarkers Enthalten in Health Information Science and Systems Bd. 12, 11.11.2024, Nr. 1, date:12.2024: 1-13
	34015	Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters Enthalten in Scientific reports Bd. 15, 3.7.2025, Nr. 1, date:12.2025: 1-12
	34016	Machine learning based prediction of cognitive metrics using major biomarkers in SuperAgers Enthalten in Scientific reports Bd. 15, 28.5.2025, Nr. 1, date:12.2025: 1-20
	34017	Machine learning-based prediction of cognitive outcomes in de novo Parkinson’s disease Enthalten in npj Parkinson's Disease Bd. 8, 7.11.2022, Nr. 1, date:12.2022: 1-11
	34018	Machine learning-based prediction of compressive energy absorption in shoe soles with different features Enthalten in Scientific reports Bd. 15, 23.10.2025, Nr. 1, date:12.2025: 1-17
	34019	Machine learning-based prediction of compressive strength and slump in high-performance concrete Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 7.10.2025, Nr. 10, date:11.2025: 1-23
	34020	Machine learning based prediction of compressive strength in roller compacted concrete: a comparative study with PDP analysis Enthalten in Asian journal of civil engineering Bd. 26, 18.3.2025, Nr. 5, date:5.2025: 2241-2253