University of Tartus

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合作机构同一篇文章里的其他机构

1. King Khalid University沙特阿拉伯6
2. Qassim University沙特阿拉伯4
3. Chongqing Jiaotong University中国3
4. University of Bucharest罗马尼亚3
5. University of Burdwan印度2
6. Begum Rokeya University孟加拉国2
7. Princess Nourah bint Abdulrahman University沙特阿拉伯2
8. Wildlife Institute of India印度2

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逐年被引

最新文献

1. 1
   Intelligent geospatial modelling of flash flood susceptibility using ICO-optimized hybrid ensemblesGeomatics, Natural Hazards and Risk20260
2. 2
   Integrating geospatial data and hybrid machine learning models for landslide susceptibility assessment in semi-arid environmentsGeomatics, Natural Hazards and Risk20261
3. 3
   Knowledge, attitudes, and awareness of breast self-examination among female university students in three Arab countries: a multi-center cross-sectional studyBMC Public Health202510
4. 4
   Machine learning-based assessment of flood susceptibility in the Eastern Mediterranean: a case study of Baniyas River basinGeomatics, Natural Hazards and Risk20256
5. 5
   Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithmsGeomatics, Natural Hazards and Risk202511
6. 6
   A hybrid machine learning modelling for optimization of flood susceptibility mapping in the eastern MediterraneanNatural Hazards202411
7. 7
   Multi-criteria analysis and geospatial applications-based mapping flood vulnerable areas: a case study from the eastern MediterraneanNatural Hazards202425
8. 8
   A geospatial approach-based assessment of soil erosion impacts on the dams silting in the semi-arid regionGeomatics, Natural Hazards and Risk202422
9. 9
   Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, RomaniaGeomatics, Natural Hazards and Risk202310
10. 10
    An integrated quantitative and qualitative approach for landslide susceptibility mapping in West Sikkim district, Indian HimalayaGeomatics, Natural Hazards and Risk202329

高被引文献

1. 1
   COVID-19 vaccination acceptance among Syrian population: a nationwide cross-sectional studyBMC Public Health202131
2. 2
   An integrated quantitative and qualitative approach for landslide susceptibility mapping in West Sikkim district, Indian HimalayaGeomatics, Natural Hazards and Risk202329
3. 3
   Multi-criteria analysis and geospatial applications-based mapping flood vulnerable areas: a case study from the eastern MediterraneanNatural Hazards202425
4. 4
   A geospatial approach-based assessment of soil erosion impacts on the dams silting in the semi-arid regionGeomatics, Natural Hazards and Risk202422
5. 5
   An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, PakistanGeomatics, Natural Hazards and Risk202320
6. 6
   Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western HimalayaGeomatics, Natural Hazards and Risk202318
7. 7
   A hybrid machine learning modelling for optimization of flood susceptibility mapping in the eastern MediterraneanNatural Hazards202411
8. 8
   Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithmsGeomatics, Natural Hazards and Risk202511
9. 9
   Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, RomaniaGeomatics, Natural Hazards and Risk202310
10. 10
    Knowledge, attitudes, and awareness of breast self-examination among female university students in three Arab countries: a multi-center cross-sectional studyBMC Public Health202510

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