受强制性开放获取政策约束的文章 - Himan Shahabi了解详情
无法在其他位置公开访问的文章：5 篇
Modeling flood susceptibility using data-driven approaches of naïve bayes tree, alternating decision tree, and random forest methods
W Chen, Y Li, W Xue, H Shahabi, S Li, H Hong, X Wang, H Bian, S Zhang, ...
Science of The Total Environment 701, 134979, 2020
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
W Chen, H Hong, S Li, H Shahabi, Y Wang, X Wang, BB Ahmad
Journal of Hydrology 575, 864-873, 2019
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
W Chen, M Panahi, P Tsangaratos, H Shahabi, I Ilia, S Panahi, S Li, ...
Catena 172, 212-231, 2019
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping
W Chen, X Zhao, P Tsangaratos, H Shahabi, I Ilia, W Xue, X Wang, ...
Journal of Hydrology 583, 124602, 2020
强制性开放获取政策： 国家自然科学基金委员会
Improving the performance of artificial intelligence models using the rotation forest technique for landslide susceptibility mapping
H Shen, F Huang, X Fan, H Shahabi, A Shirzadi, D Wang, C Peng, X Zhao, ...
International Journal of Environmental Science and Technology 20 (10), 11239 …, 2023
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：21 篇
A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods
K Khosravi, H Shahabi, BT Pham, J Adamowski, A Shirzadi, B Pradhan, ...
Journal of Hydrology 573, 311-323, 2019
强制性开放获取政策： 中国科学院
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
W Chen, J Peng, H Hong, H Shahabi, B Pradhan, J Liu, AX Zhu, X Pei, ...
Science of the total environment 626, 1121-1135, 2018
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
W Chen, X Xie, J Peng, H Shahabi, H Hong, DT Bui, Z Duan, S Li, AX Zhu
Catena 164, 135-149, 2018
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
Y Wang, H Hong, W Chen, S Li, M Panahi, K Khosravi, A Shirzadi, ...
Journal of environmental management 247, 712-729, 2019
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
New hybrids of anfis with several optimization algorithms for flood susceptibility modeling
D Tien Bui, K Khosravi, S Li, H Shahabi, M Panahi, VP Singh, K Chapi, ...
Water 10 (9), 1210, 2018
强制性开放获取政策： 中国科学院
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
Q He, H Shahabi, A Shirzadi, S Li, W Chen, N Wang, H Chai, H Bian, J Ma, ...
Science of the total environment 663, 1-15, 2019
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao …
W Chen, A Shirzadi, H Shahabi, BB Ahmad, S Zhang, H Hong, N Zhang
Geomatics, Natural Hazards and Risk 8 (2), 1955-1977, 2017
强制性开放获取政策： 国家自然科学基金委员会
Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling
W Chen, H Shahabi, A Shirzadi, H Hong, A Akgun, Y Tian, J Liu, AX Zhu, ...
Bulletin of Engineering Geology and the Environment 78, 4397-4419, 2019
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Novel hybrid evolutionary algorithms for spatial prediction of floods
DT Bui, M Panahi, H Shahabi, VP Singh, A Shirzadi, K Chapi, K Khosravi, ...
Scientific reports 8 (1), 15364, 2018
强制性开放获取政策： 中国科学院
Landslide susceptibility modeling based on gis and novel bagging-based kernel logistic regression
W Chen, H Shahabi, S Zhang, K Khosravi, A Shirzadi, K Chapi, BT Pham, ...
Applied Sciences 8 (12), 2540, 2018
强制性开放获取政策： 国家自然科学基金委员会
Spatial prediction of landslide susceptibility using gis-based data mining techniques of anfis with whale optimization algorithm (woa) and grey wolf optimizer (gwo)
W Chen, H Hong, M Panahi, H Shahabi, Y Wang, A Shirzadi, S Pirasteh, ...
Applied Sciences 9 (18), 3755, 2019
强制性开放获取政策： 国家自然科学基金委员会
Novel hybrid integration approach of bagging-based fisher’s linear discriminant function for groundwater potential analysis
W Chen, B Pradhan, S Li, H Shahabi, HM Rizeei, E Hou, S Wang
Natural Resources Research 28, 1239-1258, 2019
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)
H Hong, J Liu, AX Zhu, H Shahabi, BT Pham, W Chen, B Pradhan, DT Bui
Environmental Earth Sciences 76, 1-19, 2017
强制性开放获取政策： 国家自然科学基金委员会
Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
W Chen, X Zhao, H Shahabi, A Shirzadi, K Khosravi, H Chai, S Zhang, ...
Geocarto International 34 (11), 1177-1201, 2019
强制性开放获取政策： 国家自然科学基金委员会
A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment
W Chen, H Shahabi, A Shirzadi, T Li, C Guo, H Hong, W Li, D Pan, J Hui, ...
Geocarto International 33 (12), 1398-1420, 2018
强制性开放获取政策： 国家自然科学基金委员会
出版信息和资助信息由计算机程序自动确定