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32871 - 32880 von 33146

	32871	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
	32872	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
	32873	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
	32874	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
	32875	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
	32876	Utilization of sequential model-based optimizer integrated machine learning models in correlation of famotidine solubility in supercritical carbon dioxide Enthalten in Scientific reports Bd. 15, 10.10.2025, Nr. 1, date:12.2025: 1-14
	32877	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
	32878	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
	32879	Utilizing a publicly accessible automated machine learning platform to enable diagnosis before tumor surgery Enthalten in Communications medicine Bd. 5, 8.10.2025, Nr. 1, date:12.2025: 1-7
	32880	Utilizing contemporary machine learning techniques for determining soilcrete properties Enthalten in Earth science informatics Bd. 18, 14.1.2025, Nr. 1, date:1.2025: 1-30

32871 - 32880 von 33146

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