|
37231 |
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
|
|
|
|
37232 |
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
|
|
|
|
37233 |
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.
|
|
|
|
37234 |
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
|
|
|
|
37235 |
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
|
|
|
|
37236 |
Usage of machine learning methods for forecasting the strength of environmentally friendly geopolymer concrete
Enthalten in Journal of ambient intelligence and humanized computing Bd. 16, 22.3.2025, Nr. 4-5, date:5.2025: 505-522
|
|
|
|
37237 |
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
|
|
|
|
37238 |
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
|
|
|
|
37239 |
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
|
|
|
|
37240 |
Use of a supervised machine learning model to predict Oncotype DX risk category in node-positive patients older than 50 years of age
Enthalten in Breast cancer research and treatment Bd. 196, 21.10.2022, Nr. 3, date:12.2022: 565-570
|
|
Administration
