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 29273
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Artikel 27791 SPATIAL PREDICTION OF RECEIVED SIGNAL STRENGTH FOR CELLULAR COMMUNICATION USING SUPPORT VECTOR MACHINE AND K-NEAREST NEIGHBOURS REGRESSION
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W9-2024, 2024: 291-297. 7 S.
Online Ressource
Artikel 27792 Spatial prediction of soil contamination based on machine learning: a review
Enthalten in Frontiers of environmental science & engineering Bd. 17, 17.2.2023, Nr. 8, date:8.2023: 1-17
Online Ressource
Artikel 27793 Spatial prediction of soil micronutrients using machine learning algorithms integrated with multiple digital covariates
Enthalten in Nutrient cycling in agroecosystems Bd. 127, 13.8.2023, Nr. 1, date:9.2023: 137-153
Online Ressource
Artikel 27794 Spatial prediction of soil organic carbon stocks in an arid rangeland using machine learning algorithms
Enthalten in Environmental monitoring and assessment Bd. 193, 17.11.2021, Nr. 12, date:12.2021: 1-17
Online Ressource
Artikel 27795 Spatial predictions of groundwater potential using automated machine learning (AutoML): a comparative study of feature selection and training sample size in Qinghai Province, China
Enthalten in Environmental science and pollution research Bd. 31, 1.12.2023, Nr. 1, date:1.2024: 1127-1145
Online Ressource
Artikel 27796 Spatial recognition and semi-quantification of epigenetic events in pancreatic cancer subtypes with multiplexed molecular imaging and machine learning
Enthalten in Scientific reports Bd. 15, 22.2.2025, Nr. 1, date:12.2025: 1-17
Online Ressource
Artikel 27797 Spatial statistical machine learning models to assess the relationship between development vulnerabilities and educational factors in children in Queensland, Australia
Enthalten in BMC public health Bd. 22, 30.11.2022, Nr. 1, date:12.2022: 1-12
Online Ressource
Artikel 27798 Spatial temperature prediction—a machine learning and GIS perspective
Enthalten in Theoretical and applied climatology Bd. 155, 7.10.2024, Nr. 11, date:11.2024: 9619-9642
Online Ressource
Artikel 27799 SPATIALLY AWARE LANDSLIDE SUSCEPTIBILITY PREDICTION USING A GEOGRAPHICAL RANDOM FOREST APPROACH
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W9-2024, 2024: 363-370. 8 S.
Online Ressource
Artikel 27800 Spatio-Temporal Analysis of Wetland Loss in the Lower Mekong River Basin Based on Surface Water Detection Datasets and Machine Learning
Enthalten in Wetlands Bd. 45, 25.6.2025, Nr. 6, date:8.2025: 1-14
Online Ressource


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