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

41711 - 41720 von 41991

	41711	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
	41712	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
	41713	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
	41714	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
	41715	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
	41716	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
	41717	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
	41718	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
	41719	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
	41720	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

41711 - 41720 von 41991

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