Katalog der Deutschen Nationalbibliothek

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

32961 - 32970 von 33489

	32961	Upscaling methane fluxes from peatlands across a drainage gradient in Ireland using PlanetScope imagery and machine learning tools Enthalten in Scientific reports Bd. 13, 25.7.2023, Nr. 1, date:12.2023: 1-11
	32962	Urban air quality modeling and health impact analysis using geospatial methods and machine learning algorithms Enthalten in Asia-Pacific journal of regional science Bd. 9, 9.7.2025, Nr. 3, date:9.2025: 693-731
	32963	Urban and rural disparities in stroke prediction using machine learning among Chinese older adults Enthalten in Scientific reports Bd. 15, 25.2.2025, Nr. 1, date:12.2025: 1-9
	32964	Urban areas extraction from multi sensor data based on machine learning and data fusion Enthalten in Pattern recognition and image analysis Bd. 27, 15.6.2017, Nr. 2, date:4.2017: 326-337
	32965	Urban change detection: assessing biophysical drivers using machine learning and Google Earth Engine Enthalten in Environmental monitoring and assessment Bd. 197, 20.3.2025, Nr. 4, date:4.2025: 1-15
	32966	Urban flood risk analysis using presence-only machine learning approach: an integrated MaxEnt-cloud model framework in Harbin, China Enthalten in Natural hazards Bd. 121, 24.6.2025, Nr. 14, date:8.2025: 16827-16856
	32967	Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms Enthalten in Theoretical and applied climatology Bd. 149, 4.5.2022, Nr. 1-2, date:7.2022: 639-659
	32968	Urban ground subsidence monitoring and prediction using time-series InSAR and machine learning approaches: a case study of Tianjin, China Enthalten in Environmental earth sciences Bd. 83, 9.8.2024, Nr. 16, date:8.2024: 1-19
	32969	Urban lakes change extraction using time series GaoFen-1 satellite imagery Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1-2024, 2024: 463-468. 6 S.
	32970	Urban ozone variability using automated machine learning: inference from different feature importance schemes Enthalten in Environmental monitoring and assessment Bd. 196, 23.3.2024, Nr. 4, date:4.2024: 1-15

32961 - 32970 von 33489

Alle Materialarten > Artikel (33489)

Alle Standorte > Frankfurt (33489)

Aktionen