Loughborough University, Department of Civil and Building Engineering Loughborough LE11 3TU, United Kingdom;
European Commission, Joint Research Centre,Institute for Environment and Sustainability,via E. Fermi 2749, Ⅰ-21027 Ispra (VA), Italy,Politecnico di Milano, Dipartimento di Elettronica e Informazione, via Ponzio 34/5, Ⅰ-20133 Milano, Italy;
British Geological Survey, Environmental Science Centre Keyworth NG12 5GG,United Kingdom;
Loughborough University, Department of Civil and Building Engineering Loughborough LE11 3TU, United Kingdom;
National Research Council (CNR), Bari, Italy;
Landslide susceptibility; Modelling; Ensemble; Semantic Array Programming;
机译:利用物理基于模型和模糊的蒙特卡洛模拟评估区域规模的降雨诱导的滑坡敏感性
机译:基于地理信息系统滑坡敏感性区划的模糊专家系统和极限学习机的鲁棒性评估-以印度喜马拉雅山为例
机译:使用确定性因子模型评估滑坡敏感性:R ?? CU?A流域(弯曲亚喀尔巴阡山脉)案例研究
机译:Landslide易感性的多尺度鲁棒建模:区域快速评估和集水区强大的模糊组合
机译:Rio Chama Landslide的测绘与分析和区域滑坡易感性评价,科罗拉多州Archuleta County
机译:基于集成神经网络的新型元数据启发式地理空间滑坡敏感性评价
机译:滑坡敏感性的多尺度稳健建模:区域快速评估和集水区稳健模糊集合