Thu Dau Mot University

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. HUTECH University4
2. Institut Supérieur des Études Technologiques de Nabeul突尼斯4
3. Aligarh Muslim University印度3
4. Luleå University of Technology瑞典2
5. Tarbiat Modares University伊朗1
6. TKM College of Engineering印度1
7. Université de Strasbourg法国1
8. University of Bremen德国1

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逐年被引

最新文献

1. 1
   Flood potential mapping by integrating the bivariate statistics, multi-criteria decision-making, and machine learning techniquesStochastic Environmental Research and Risk Assessment202215
2. 2
   Assessment of climate change impacts on glacio-hydrological processes and their variations within critical zoneNatural Hazards202220
3. 3
   Study of the impact of ash fallout from the Icelandic volcano Eyjafjöll (2010) on vegetation using MODIS dataNatural Hazards20221
4. 4
   Indicator-based approach for flood vulnerability assessment in ancient heritage city of Hoi An, Central Region of VietnamNatural Hazards202227
5. 5
   An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility mapping in the Rangit River watershed, IndiaNatural Hazards202266
6. 6
   Credibility of design rainfall estimates for drainage infrastructures: extent of disregard in Nigeria and proposed framework for practiceNatural Hazards202110
7. 7
   Evaluation of various boosting ensemble algorithms for predicting flood hazard susceptibility areasGeomatics, Natural Hazards and Risk202142
8. 8
   Identification and characterization the sources of aerosols over Jharkhand state and surrounding areas, India using AHP modelGeomatics, Natural Hazards and Risk202123
9. 9
   A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mappingGeomatics, Natural Hazards and Risk2021149

高被引文献

1. 1
   A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mappingGeomatics, Natural Hazards and Risk2021149
2. 2
   An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility mapping in the Rangit River watershed, IndiaNatural Hazards202266
3. 3
   Evaluation of various boosting ensemble algorithms for predicting flood hazard susceptibility areasGeomatics, Natural Hazards and Risk202142
4. 4
   Indicator-based approach for flood vulnerability assessment in ancient heritage city of Hoi An, Central Region of VietnamNatural Hazards202227
5. 5
   Identification and characterization the sources of aerosols over Jharkhand state and surrounding areas, India using AHP modelGeomatics, Natural Hazards and Risk202123
6. 6
   Assessment of climate change impacts on glacio-hydrological processes and their variations within critical zoneNatural Hazards202220
7. 7
   Flood potential mapping by integrating the bivariate statistics, multi-criteria decision-making, and machine learning techniquesStochastic Environmental Research and Risk Assessment202215
8. 8
   Credibility of design rainfall estimates for drainage infrastructures: extent of disregard in Nigeria and proposed framework for practiceNatural Hazards202110
9. 9
   Study of the impact of ash fallout from the Icelandic volcano Eyjafjöll (2010) on vegetation using MODIS dataNatural Hazards20221

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