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Ergebnis der Suche nach: "Machine Learning"
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Artikel 16221 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
Online Ressource
Artikel 16222 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
Online Ressource
Artikel 16223 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
Online Ressource
Artikel 16224 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.
Online Ressource
Artikel 16225 UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120)
Enthalten in npj precision oncology Bd. 8, 23.2.2024, Nr. 1, date:12.2024: 1-10
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Artikel 16226 Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients
Enthalten in BMC nephrology Bd. 24, 14.2.2023, Nr. 1, date:12.2023: 1-17
Online Ressource
Artikel 16227 Use machine learning to predict pulmonary metastasis of esophageal cancer: a population-based study
Enthalten in Journal of cancer research and clinical oncology Bd. 150, 16.9.2024, Nr. 9, date:9.2024: 1-10
Online Ressource
Artikel 16228 Use machine learning to predict treatment outcome of early childhood caries
Enthalten in BMC oral health Bd. 25, 15.3.2025, Nr. 1, date:12.2025: 1-9
Online Ressource
Artikel 16229 Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France
Enthalten in Archives of public health Bd. 79, 22.9.2021, Nr. 1, date:12.2021: 1-13
Online Ressource
Artikel 16230 Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable
Enthalten in BMC bioinformatics Bd. 9, 18.11.2008, Nr. 1, date:12.2008: 1-12
Online Ressource


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