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

34701 - 34710 von 37334

	34701	Promptly assessing probability of barge–bridge collision damage of piers through probabilistic-based classification of machine learning Enthalten in Journal of civil structural health monitoring Bd. 7, 17.2.2017, Nr. 1, date:2.2017: 57-78
	34702	Proof of concept of the potential of a machine learning algorithm to extract new information from conventional SARS-CoV-2 rRT-PCR results Enthalten in Scientific reports Bd. 13, 13.5.2023, Nr. 1, date:12.2023: 1-13
	34703	Proof of concept study on early forecasting of antimicrobial resistance in hospitalized patients using machine learning and simple bacterial ecology data Enthalten in Scientific reports Bd. 14, 30.9.2024, Nr. 1, date:12.2024: 1-16
	34704	Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data Enthalten in BMC bioinformatics Bd. 25, 4.1.2024, Nr. 1, date:12.2024: 1-24
	34705	Prophylactic and therapeutic measures for emerging and re-emerging viruses: artificial intelligence and machine learning - the key to a promising future Enthalten in Health and Technology Bd. 14, 24.1.2024, Nr. 2, date:3.2024: 251-261
	34706	Proportion-based normalizations outperform compositional data transformations in machine learning applications Enthalten in Microbiome Bd. 12, 5.3.2024, Nr. 1, date:12.2024: 1-13
	34707	Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique Enthalten in Scientific reports Bd. 14, 6.2.2024, Nr. 1, date:12.2024: 1-18
	34708	Proposal and evaluation of tsunami disaster drill support system using tablet computer Enthalten in International journal of information technology Bd. 15, 13.9.2023, Nr. 8, date:12.2023: 4029-4039
	34709	Proposal of a new equation for estimating resting energy expenditure of acute kidney injury patients on dialysis: a machine learning approach Enthalten in Nutrition & metabolism Bd. 17, 17.11.2020, Nr. 1, date:12.2020: 1-8
	34710	Proposed numerical and machine learning models for fiber-reinforced polymer concrete-steel hollow and solid elliptical columns Enthalten in Frontiers of structural and civil engineering Bd. 18, 26.7.2024, Nr. 8, date:8.2024: 1169-1194

34701 - 34710 von 37334

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