Katalog der Deutschen Nationalbibliothek

Neuigkeiten Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. Die Ausstellungen des Deutschen Buch- und Schriftmuseums sind von 10 bis 18 Uhr geöffnet. Die Ausstellungen des Deutschen Exilarchivs 1933-1945 sind von 9 bis 21:30 Uhr geöffnet. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations. The exhibitions of the German Museum of Books and Writing will open from 10:00 to 18:00. The exhibitions of the German Exile Archive 1933–1945 will be open from 9:00 to 21:30.
 
 
 


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

27701 - 27710 von 29161
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Artikel 27701 Spatiotemporal aerosol prediction model based on fusion of machine learning and spatial analysis
Enthalten in Asian journal of atmospheric environment Bd. 18, 21.3.2024, Nr. 1, date:12.2024: 1-15 		Online Ressource
Artikel 27702 Spatiotemporal analysis and predicting rainfall trends in a tropical monsoon-dominated country using MAKESENS and machine learning techniques
Enthalten in Scientific reports Bd. 13, 25.8.2023, Nr. 1, date:12.2023: 1-26 		Online Ressource
Artikel 27703 Spatiotemporal analysis of airborne pollutants and health risks in Mashhad metropolis: enhanced insights through sensitivity analysis and machine learning
Enthalten in Environmental geochemistry and health Bd. 47, 26.12.2024, Nr. 2, date:2.2025: 1-22 		Online Ressource
Artikel 27704 Spatiotemporal analysis of land surface temperature and land cover changes in Prešov city using downscaling approach and machine learning algorithms
Enthalten in Environmental monitoring and assessment Bd. 197, 3.1.2025, Nr. 2, date:2.2025: 1-25 		Online Ressource
Artikel 27705 Spatiotemporal analysis of urban expansion, land use dynamics, and thermal characteristics in a rapidly growing megacity using remote sensing and machine learning techniques
Enthalten in Theoretical and applied climatology Bd. 156, 10.1.2025, Nr. 2, date:2.2025: 1-23 		Online Ressource
Artikel 27706 Spatiotemporal Changes of Pollutant Concentrations in South India during COVID-19 Lockdown Using Ground and Satellite-based data: a Comparative Analysis from the Machine Learning Model
Enthalten in Water, air & soil pollution Bd. 236, 28.2.2025, Nr. 3, date:3.2025: 1-25 		Online Ressource
Artikel 27707 Spatiotemporal characteristics of carbon emissions in Shaanxi, China, during 2012–2019: a machine learning method with multiple variables
Enthalten in Environmental science and pollution research Bd. 30, 10.7.2023, Nr. 37, date:8.2023: 87535-87548 		Online Ressource
Artikel 27708 Spatiotemporal dynamics of land use land cover patterns in the middle Omo-Gibe River Basin, Ethiopia: machine learning, geospatial, and field survey integrated approach
Enthalten in Modeling earth systems and environment Bd. 11, 31.12.2024, Nr. 1, date:2.2025: 1-22 		Online Ressource
Artikel 27709 Spatiotemporal dynamics of urbanization and cropland in the Nile Delta of Egypt using machine learning and satellite big data: implications for sustainable development
Enthalten in Environmental monitoring and assessment Bd. 191, 23.11.2019, Nr. 12, date:12.2019: 1-23 		Online Ressource
Artikel 27710 Spatiotemporal dynamics of vegetation cover: integrative machine learning analysis of multispectral imagery and environmental predictors
Enthalten in Earth science informatics Bd. 18, 8.1.2025, Nr. 1, date:1.2025: 1-23 		Online Ressource


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