Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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15971 - 15980 von 16845

	15971	Source Apportionment of Particulate Matter by Application of Machine Learning Clustering Algorithms Enthalten in Aerosol and Air Quality Research Bd. 22, 27.1.2022, Nr. 3, date:3.2022: 1-13
	15972	Soybean leaf estimation based on RGB images and machine learning methods Enthalten in Plant methods Bd. 19, 17.6.2023, Nr. 1, date:12.2023: 1-16
	15973	SPA: A poisoning attack framework for graph neural networks through searching and pairing Enthalten in Machine learning Bd. 114, 16.1.2025, Nr. 1, date:1.2025: 1-31
	15974	Space-time video super-resolution using long-term temporal feature aggregation Enthalten in Autonomous intelligent systems Bd. 3, 16.6.2023, Nr. 1, date:12.2023: 1-9
	15975	SPACEBORNE GNSS-R RETRIEVING ON GLOBAL SOIL MOISTURE APPROACHED BY SUPPORT VECTOR MACHINE LEARNING Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2020, 2020: 605-610
	15976	SPACIER: on-demand polymer design with fully automated all-atom classical molecular dynamics integrated into machine learning pipelines Enthalten in npj computational materials Bd. 11, 28.1.2025, Nr. 1, date:12.2025: 1-11
	15977	Sparse sensor reconstruction of vortex-impinged airfoil wake with machine learning Enthalten in Theoretical and computational fluid dynamics Bd. 37, 7.6.2023, Nr. 2, date:4.2023: 269-287
	15978	Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism Enthalten in Molecular autism Bd. 8, 19.12.2017, Nr. 1, date:12.2017: 1-17
	15979	Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning Enthalten in BMC public health Bd. 25, 1.3.2025, Nr. 1, date:12.2025: 1-15
	15980	Spatial Analysis of Land Use Land Cover Dynamics in the Madurai District Using Sentinel-2 Data and Supervised Learning Algorithms Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4-2024, 2024: 367-372. 6 S.