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16261 |
UPDATING ABOVEGROUND BIOMASS AT A PAN-EUROPEAN SCALE THROUGH SATELLITE DATA AND ARTIFICIAL INTELLIGENCE
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 1763-1769. 7 S.
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16262 |
UPDATING STRATEGIES FOR DISTANCE BASED CLASSIFICATION MODEL WITH RECURSIVE LEAST SQUARES
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. V-3-2022, 2022: 163-170. 8 S.
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16263 |
Upper and lower bounds for complete linkage in general metric spaces
Enthalten in Machine learning Bd. 113, 30.11.2023, Nr. 1, date:1.2024: 489-518
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16264 |
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
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16265 |
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
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16266 |
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
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16267 |
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.
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16268 |
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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16269 |
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
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16270 |
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
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