Transylvania University of Brașov

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. Tarbiat Modares University伊朗3
2. University Of Transport Technology越南3
3. University of Tartus叙利亚2
4. Amsterdam Institute for Advanced Metropolitan Solutions荷兰2
5. Institute of Geological Sciences越南2
6. Luleå University of Technology瑞典2
7. Technical University of Civil Engineering of Bucharest罗马尼亚2
8. Ton Duc Thang University越南2

按月发文

逐年被引

最新文献

1. 1
   An enhanced quantum reservoir computing framework for hydrological time series modelingStochastic Environmental Research and Risk Assessment20260
2. 2
   Intelligent geospatial modelling of flash flood susceptibility using ICO-optimized hybrid ensemblesGeomatics, Natural Hazards and Risk20260
3. 3
   Drought forecasting in Dobrogea, Romania using SPEI-based machine learning modelsStochastic Environmental Research and Risk Assessment20264
4. 4
   Two-part models for the dependence between the monthly precipitation and temperature series: a case study from RomaniaStochastic Environmental Research and Risk Assessment20260
5. 5
   Corrigendum to ‘Resilience readiness levels for buildings: Establishing multi-hazard resilience metrics and rating systems’ [Int. J. Disaster Risk Reduct. 128 (2025) 105746]International Journal of Disaster Risk Reduction20260
6. 6
   Copula-based assessment of compound warm-dry climate risk: a 55-year analysis of dependence structure stability in Tulcea, RomaniaStochastic Environmental Research and Risk Assessment20261
7. 7
   Genetic-algorithm based changepoints detection and homogenization of precipitation seriesStochastic Environmental Research and Risk Assessment20262
8. 8
   Flood susceptibility estimation using randomization-based machine learning models. A case study at the Putna river basin, RomaniaGeomatics, Natural Hazards and Risk20253
9. 9
   Resilience Readiness Levels for buildings: Establishing multi-hazard resilience metrics and rating systemsInternational Journal of Disaster Risk Reduction20255
10. 10
    Land use and climate change-induced soil erosion mapping in a sub-tropical environmentGeomatics, Natural Hazards and Risk202315

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
   Detection of areas prone to flood risk using state-of-the-art machine learning modelsGeomatics, Natural Hazards and Risk202181
3. 3
   Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP modelsStochastic Environmental Research and Risk Assessment202279
4. 4
   Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, VietnamNatural Hazards202140
5. 5
   Application of novel ensemble models and k-fold CV approaches for Land subsidence susceptibility modellingStochastic Environmental Research and Risk Assessment202124
6. 6
   Exploring novel hybrid soft computing models for landslide susceptibility mapping in Son La hydropower reservoir basinGeomatics, Natural Hazards and Risk202120
7. 7
   Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areasStochastic Environmental Research and Risk Assessment202318
8. 8
   Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western HimalayaGeomatics, Natural Hazards and Risk202318
9. 9
   Land use and climate change-induced soil erosion mapping in a sub-tropical environmentGeomatics, Natural Hazards and Risk202315
10. 10
    Resilience Readiness Levels for buildings: Establishing multi-hazard resilience metrics and rating systemsInternational Journal of Disaster Risk Reduction20255

主要发表期刊

研究主题