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27661 |
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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27662 |
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
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27663 |
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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27664 |
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
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27665 |
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
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27666 |
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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27667 |
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
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27668 |
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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27669 |
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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27670 |
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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