Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan by Dou, Jie, Yunus, Ali P., Bui, Dieu Tien, Merghadi, Abdelaziz, Sahana, Mehebub, Zhu, Zhongfan, Chen, Chi-Wen, Han, Zheng, Pham, Binh Thai

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A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil by Pham, Binh Thai, Nguyen, Manh Duc, Bui, Kien-Trinh Thi, Prakash, Indra, Chapi, Kamran, Bui, Dieu Tien

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Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling by Panahi, Mahdi, Dodangeh, Esmaeel, Rezaie, Fatemeh, Khosravi, Khabat, Van Le, Hiep, Lee, Moung-Jin, Lee, Saro, Thai Pham, Binh

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Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran by Janizadeh, Saeid, Avand, Mohammadtaghi, Jaafari, Abolfazl, Phong, Tran Van, Bayat, Mahmoud, Ahmadisharaf, Ebrahim, Prakash, Indra, Pham, Binh Thai, Lee, Saro

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Electrodeposition of Ni–Fe–Mn ternary nanosheets as affordable and efficient electrocatalyst for both hydrogen and oxygen evolution reactions by Ashraf, Muhammad Aqeel, Li, Cheng, Pham, Binh Thai, Zhang, Dangquan

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Analysis of the long-run relationship between public capital, economic growth, and (non-)renewable energy consumption: a pooled mean group approach by Pham, Thai-Binh

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A spatially explicit deep learning neural network model for the prediction of landslide susceptibility by Dao, Dong Van, Jaafari, Abolfazl, Bayat, Mahmoud, Mafi-Gholami, Davood, Qi, Chongchong, Moayedi, Hossein, Phong, Tran Van, Ly, Hai-Bang, Le, Tien-Thinh, Trinh, Phan Trong, Luu, Chinh, Quoc, Nguyen Kim, Thanh, Bui Nhi, Pham, Binh Thai

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Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm by Shahabi, Himan, Shirzadi, Ataollah, Ronoud, Somayeh, Asadi, Shahrokh, Pham, Binh Thai, Mansouripour, Fatemeh, Geertsema, Marten, Clague, John J., Bui, Dieu Tien

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Electrodeposition of superhydrophilic and binder-free Mo-doped Ni–Fe nanosheets as cost-effective and efficient bifunctional electrocatalyst for overall water splitting by Ashraf, Muhammad Aqeel, Liu, Zhenling, Pham, Binh Thai, Zhang, Dangquan

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A comparative study between popular statistical and machine learning methods for simulating volume of landslides by Shirzadi, Ataollah, Shahabi, Himan, Chapi, Kamran, Bui, Dieu Tien, Pham, Binh Thai, Shahedi, Kaka, Ahmad, Baharin Bin

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A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment by Khosravi, Khabat, Sartaj, Majid, Tsai, Frank T.-C., Singh, Vijay P., Kazakis, Nerantzis, Melesse, Assefa M., Prakash, Indra, Tien Bui, Dieu, Pham, Binh Thai

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New Machine Learning Ensemble for Flood Susceptibility Estimation by Costache, Romulus, Arabameri, Alireza, Costache, Iulia, Crăciun, Anca, Pham, Binh Thai

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Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier by Pham, Binh Thai, Prakash, Indra, Jaafari, Abolfazl, Bui, Dieu Tien

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A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan... by Pham, Binh Thai, Shirzadi, Ataollah, Tien Bui, Dieu, Prakash, Indra, Dholakia, M.B.

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A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment by Abedini, Mousa, Ghasemian, Bahareh, Shirzadi, Ataollah, Shahabi, Himan, Chapi, Kamran, Pham, Binh Thai, Bin Ahmad, Baharin, Tien Bui, Dieu

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Development of advanced artificial intelligence models for daily rainfall prediction by Pham, Binh Thai, Le, Lu Minh, Le, Tien-Thinh, Bui, Kien-Trinh Thi, Le, Vuong Minh, Ly, Hai-Bang, Prakash, Indra

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Flash-flood potential index estimation using fuzzy logic combined with deep learning neural network, naïve Bayes, XGBoost and classification and regression tree by Costache, Romulus, Arabameri, Alireza, Moayedi, Hossein, Pham, Quoc Bao, Santosh, M., Nguyen, Hoang, Pandey, Manish, Pham, Binh Thai

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Mapping BIM Uses for Risk Mitigation in International Construction Projects by Ganbat, Tsenguun, Liao, Pin-Chao, Chong, Heap-Yih (John)

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Performance of Naïve Bayes Tree with ensemble learner techniques for groundwater potential mapping by Phong, Tran Van, Pham, Binh Thai

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Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach by Qi, Chongchong, Ly, Hai-Bang, Chen, Qiusong, Le, Tien-Thinh, Le, Vuong Minh, Pham, Binh Thai

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