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

41031 - 41040 von 41272

	41031	Utilizing machine learning to classify persistent organic pollutants in the serum of pregnant women: a predictive modeling approach Enthalten in Environmental science and pollution research Bd. 31, 21.8.2024, Nr. 40, date:8.2024: 52980-52995
	41032	Utilizing machine learning to facilitate the early diagnosis of posterior circulation stroke Enthalten in BMC neurology Bd. 24, 7.5.2024, Nr. 1, date:12.2024: 1-12
	41033	Utilizing machine learning to identify fall predictors in India's aging population: findings from the LASI Enthalten in BMC geriatrics Bd. 25, 17.3.2025, Nr. 1, date:12.2025: 1-11
	41034	Utilizing machine learning to model interdependency of bulk molecular weight, solution concentration, and thickness of spin coated polystyrene thin films Enthalten in Materials Research Society: MRS communications Bd. 14, 12.2.2024, Nr. 2, date:4.2024: 230-236
	41035	Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine) Enthalten in Scientific reports Bd. 15, 24.1.2025, Nr. 1, date:12.2025: 1-13
	41036	Utilizing machine learning to predict MRI signal outputs from iron oxide nanoparticles through the PSLG algorithm Enthalten in Scientific reports Bd. 15, 16.7.2025, Nr. 1, date:12.2025: 1-13
	41037	Utilizing machine learning to predict participant response to follow-up health surveys in the Millennium Cohort Study Enthalten in Scientific reports Bd. 14, 28.10.2024, Nr. 1, date:12.2024: 1-12
	41038	Utilizing machine learning to predict post-treatment outcomes in chronic non-specific neck pain patients undergoing cervical extension traction Enthalten in Scientific reports Bd. 14, 23.5.2024, Nr. 1, date:12.2024: 1-13
	41039	Utilizing Ni(II) complex for metal drug-gel particles in cervical cancer treatment and designing novel drugs through machine learning methods Enthalten in Scientific reports Bd. 14, 5.3.2024, Nr. 1, date:12.2024: 1-9
	41040	Utilizing reinforcement learning for de novo drug design Enthalten in Machine learning Bd. 113, 8.4.2024, Nr. 7, date:7.2024: 4811-4843