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Ergebnis der Suche nach: "Machine Learning"
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34181 - 34190 von 37150

	34181	Prediction of poststroke independent walking using machine learning: a retrospective study Enthalten in BMC neurology Bd. 24, 10.9.2024, Nr. 1, date:12.2024: 1-10
	34182	Prediction of potential occurrence of historical objects with defensive function in Slovakia using machine learning approach Enthalten in Scientific reports Bd. 14, 5.12.2024, Nr. 1, date:12.2024: 1-13
	34183	Prediction of Potential Urban Hot Spots in Urban Environments Using Convolutional Neural Networks and Remote Sensing Techniques Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4-2024, 2024: 195-202. 8 S.
	34184	Prediction of power consumption and its signals in sustainable turning of PH13-8Mo steel with different machine learning models Enthalten in The international journal of advanced manufacturing technology Bd. 133, 6.6.2024, Nr. 5-6, date:7.2024: 2171-2188
	34185	Prediction of precancerous cervical cancer lesions among women living with HIV on antiretroviral therapy in Uganda: a comparison of supervised machine learning algorithms Enthalten in BMC women's health Bd. 24, 8.7.2024, Nr. 1, date:12.2024: 1-11
	34186	Prediction of Prednisolone Dose Correction Using Machine Learning Enthalten in Journal of healthcare informatics research Bd. 7, 15.2.2023, Nr. 1, date:3.2023: 84-103
	34187	Prediction of preterm birth in multiparous women using logistic regression and machine learning approaches Enthalten in Scientific reports Bd. 14, 20.9.2024, Nr. 1, date:12.2024: 1-9
	34188	Prediction of preterm birth using machine learning: a comprehensive analysis based on large-scale preschool children survey data in Shenzhen of China Enthalten in BMC pregnancy and childbirth Bd. 24, 4.12.2024, Nr. 1, date:12.2024: 1-14
	34189	Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques Enthalten in Journal of Big Data Bd. 7, 26.8.2020, Nr. 1, date:12.2020: 1-22
	34190	Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest) Enthalten in BMC emergency medicine Bd. 22, 11.2.2022, Nr. 1, date:12.2022: 1-10

34181 - 34190 von 37150

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