Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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16021 - 16030 von 16880

	16021	Spatial Mapping for Multi-Hazard Land Management in Sparsely Vegetated Watersheds Using Machine Learning Algorithms Enthalten in Environmental earth sciences Bd. 83, 20.7.2024, Nr. 15, date:7.2024: 1-23
	16022	Spatial omics-based machine learning algorithms for the early detection of hepatocellular carcinoma Enthalten in Communications medicine Bd. 4, 3.12.2024, Nr. 1, date:12.2024: 1-11
	16023	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.
	16024	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
	16025	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
	16026	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.
	16027	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
	16028	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
	16029	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
	16030	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.