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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"
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16151 - 16160 von 17015

	16151	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.
	16152	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
	16153	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
	16154	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.
	16155	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
	16156	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
	16157	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
	16158	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
	16159	Spatiotemporal land use land cover (LULC) change analysis of urban narrow river using Google Earth Engine and Machine learning algorithms in Monterrey, Mexico Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-3-2024, 2024: 371-375. 5 S.
	16160	Spatiotemporal trends and meteorological influence on hand, foot, and mouth disease in Ho Chi Minh City: insights from 2015–2022 using machine learning and trend analysis Enthalten in Discover public health Bd. 22, 11.6.2025, Nr. 1, date:12.2025: 1-14

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