Browsing byAuthorPham, BT

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Showing results 1 to 14 of 14
Issue DateTitleAuthor(s)
2022-03-01Predicting sustainable arsenic mitigation using machine learning techniques.Singh, SK; Taylor, RW; Pradhan, B; Shirzadi, A; Pham, BT
2021-09-01Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, VietnamLuu, C; Bui, QD; Costache, R; Nguyen, LT; Nguyen, TT; Van Phong, T; Van Le, H; Pham, BT
2021-01-01Using Susceptible-Exposed-Infectious-Recovered Model to Forecast Coronavirus OutbreakDansana, D; Kumar, R; Parida, A; Sharma, R; Adhikari, JD; Le, HV; Pham, BT; Singh, KK; Pradhan, B
2020-12-01Using Field-Based Monitoring to Enhance the Performance of Rainfall Thresholds for Landslide WarningAbraham, MT; Satyam, N; Bulzinetti, MA; Pradhan, B; Pham, BT; Segoni, S
2019-10-01A hybrid computational intelligence approach to groundwater spring potential mappingBui, DT; Shirzadi, A; Chapi, K; Shahabi, H; Pradhan, B; Pham, BT; Singh, VP; Chen, W; Khosravi, K; Ahmad, BB; Lee, S
2019-07-01Flood spatial modeling in Northern Iran using remote sensing and GIS: A comparison between evidential belief functions and its ensemble with a multivariate logistic regression modelBui, DT; Khosravi, K; Shahabi, H; Daggupati, P; Adamowski, JF; M.Melesse, A; Pham, BT; Pourghasemi, HR; Mahmoudi, M; Bahrami, S; Pradhan, B; Shirzadi, A; Chapi, K; Lee, S
2019-06-01A novel ensemble artificial intelligence approach for gully erosion mapping in a semi-arid watershed (Iran)Bui, DT; Shirzadi, A; Shahabi, H; Chapi, K; Omidavr, E; Pham, BT; Asl, DT; Khaledian, H; Pradhan, B; Panahi, M; Bin Ahmad, B; Rahmani, H; Gróf, G; Lee, S
2019-06-01A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning MethodsKhosravi, K; Shahabi, H; Pham, BT; Adamowski, J; Shirzadi, A; Pradhan, B; Dou, J; Ly, HB; Gróf, G; Ho, HL; Hong, H; Chapi, K; Prakash, I
2019-04-01Shallow landslide prediction using a novel hybrid functional machine learning algorithmBui, DT; Shahabi, H; Omidvar, E; Shirzadi, A; Geertsema, M; Clague, JJ; Khosravi, K; Pradhan, B; Pham, BT; Chapi, K; Barati, Z; Bin Ahmad, B; Rahmani, H; Gróf, G; Lee, S
2019-01-01Landslide susceptibility mapping using different GIS-Based bivariate modelsNohani, E; Moharrami, M; Sharafi, S; Khosravi, K; Pradhan, B; Pham, BT; Lee, S; Melesse, AM
2018-11-05Novel GIS based machine learning algorithms for shallow landslide susceptibility mappingShirzadi, A; Soliamani, K; Habibnejhad, M; Kavian, A; Chapi, K; Shahabi, H; Chen, W; Khosravi, K; Pham, BT; Pradhan, B; Ahmad, A; Bin Ahmad, B; Bui, DT
2018-04-01Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)Hong, H; Liu, J; Bui, DT; Pradhan, B; Acharya, TD; Pham, BT; Zhu, AX; Chen, W; Ahmad, BB
2017-01-01A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)Hong, H; Liu, J; Zhu, AX; Shahabi, H; Pham, BT; Chen, W; Pradhan, B; Bui, DT
2016A comparative study of different machine learning methods for landslide susceptibility assessment: a case study of Uttarakhand area (India)Pham, BT; Pradhan, B; Bui, DT; Prakash, I; Dholakia, MB