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Ergebnis der Suche nach: "Machine Learning"
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38901 - 38910 von 39163

	38901	Utilization of machine learning algorithms for forecasting the likelihood of liquefaction potential in geotechnical layers of Tabriz City Enthalten in Bulletin of engineering geology and the environment Bd. 84, 15.5.2025, Nr. 6, date:6.2025: 1-30
	38902	Utilization of machine learning approach for production of optimized PLGA nanoparticles for drug delivery applications Enthalten in Scientific reports Bd. 15, 14.3.2025, Nr. 1, date:12.2025: 1-14
	38903	Utilization of machine learning for dengue case screening Enthalten in BMC public health Bd. 24, 11.6.2024, Nr. 1, date:12.2024: 1-9
	38904	Utilization of machine learning for the estimation of production rates in wells operated by electrical submersible pumps Enthalten in Journal of petroleum exploration and production technology Bd. 14, 22.2.2024, Nr. 5, date:5.2024: 1205-1233
	38905	Utilization of machine learning models in predicting caries risk groups and oral health-related risk factors in adults Enthalten in BMC oral health Bd. 24, 8.4.2024, Nr. 1, date:12.2024: 1-19
	38906	Utilization of machine learning to test the impact of cognitive processing and emotion recognition on the development of PTSD following trauma exposure Enthalten in BMC psychiatry Bd. 20, 1.7.2020, Nr. 1, date:12.2020: 1-11
	38907	Utilization of Natural Zeolite (Scolecite) to Reduce Arsenic Contamination of Water in Relation to Machine Learning Approach Enthalten in Water, air & soil pollution Bd. 235, 5.2.2024, Nr. 2, date:2.2024: 1-17
	38908	Utilization of non-invasive ventilation before prehospital emergency anesthesia in trauma – a cohort analysis with machine learning Enthalten in Scandinavian journal of trauma, resuscitation and emergency medicine Bd. 33, 3.3.2025, Nr. 1, date:12.2025: 1-14
	38909	Utilization of tree-based machine learning models for predicting low birth weight cases Enthalten in BMC pregnancy and childbirth Bd. 25, 26.2.2025, Nr. 1, date:12.2025: 1-32
	38910	Utilizing a fusion of remote sensing data and machine learning models to forecast flood risks to agriculture in Hanoi City, Vietnam Enthalten in Letters in spatial and resource sciences Bd. 17, 24.6.2024, Nr. 1, date:12.2024: 1-19