Katalog der Deutschen Nationalbibliothek

Neuigkeiten Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.
 
 
 


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

27791 - 27800 von 29261
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Artikel 27791 Spatio-temporal Crime Analysis and Forecasting on Twitter Data Using Machine Learning Algorithms
Enthalten in SN Computer Science Bd. 4, 6.5.2023, Nr. 4, date:7.2023: 1-22
Online Ressource
Artikel 27792 Spatio-temporal rainfall variability over different meteorological subdivisions in India: analysis using different machine learning techniques
Enthalten in Theoretical and applied climatology Bd. 145, 20.5.2021, Nr. 1-2, date:7.2021: 673-686
Online Ressource
Artikel 27793 Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review
Enthalten in Environmental monitoring and assessment Bd. 191, 5.3.2019, Nr. 4, date:4.2019: 1-28
Online Ressource
Artikel 27794 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 27795 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 27796 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 27797 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 27798 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 27799 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 27800 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


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