Blar i USN Open Archive på forfatter "Prakash, Indra"
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A Novel Ensemble Classifier of Rotation Forest and Naïve Bayer for Landslide Susceptibility Assessment at the Luc Yen District, Yen Bai Province (Viet Nam) Using GIS
Pham, Binh Thai; Tien Bui, Dieu; Dholakia, M.B; Prakash, Indra; Pham, Viet-Ha; Mehmood, Khalid; Le, Quoc-Hung (Journal article; Peer reviewed, 2016)The objective of this study is to attempt a new soft computing approach for assessment of landslide susceptibility in the Luc Yen district, Yen Bai province (Viet Nam) using a novel classifier ensemble model of Naïve Bayes ... -
A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping
Binh Thai, Pham; Prakash, Indra; Chen, Wei; Ly, Hai-Bang; Ho, Lanh Si; Omidvar, Ebrahim; Tran, Van Phong; Tien Bui, Dieu (Journal article; Peer reviewed, 2019)The main objective of this study is to propose a novel hybrid model of a sequential minimal optimization and support vector machine (SMOSVM) for accurate landslide susceptibility mapping. For this task, one of the landslide ... -
A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping
Pham, Binh Thai; Phong, Tran Van; Nguyen, Huu Duy; Qi, Chongchong; Al-Ansari, Nadhir; Amini, Ata; Ho, Lanh Si; Tuyen, Tran Thi; Yen, Hoang Phan Hai; Ly, Hai-Bang; Prakash, Indra; Tien Bui, Dieu (Peer reviewed; Journal article, 2020)Risk of flash floods is currently an important problem in many parts of Vietnam. In this study, we used four machine-learning methods, namely Kernel Logistic Regression (KLR), Radial Basis Function Classifier (RBFC), ... -
Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction
Nguyen, Phong Tung; Tuyen, Tran Thi; Shirzadi, Ataollah; Pham, Binh Thai; Shahabi, Himan; Omidvar, Ebrahim; Amini, Ata; Entezami, Heresh; Prakash, Indra; Phong, Tran Van; Vu, Thao Ba; Thanh, Tran; Saro, Lee; Tien Bui, Dieu (Peer reviewed; Journal article, 2019)We proposed an innovative hybrid intelligent approach, namely, the multiboost based naïve bayes trees (MBNBT) method for the spatial prediction of landslides in the Mu Cang Chai District of Yen Bai Province, Vietnam. The ... -
Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis
Nguyen, Manh Duc; Pham, Binh Thai; Tuyen, Tran Thi; Yen, Hoang Phan Hai; Prakash, Indra; Vu, Thanh Tien; Chapi, Kamran; Shirzadi, Ataollah; Dou, Jie; Shahabi, Himan; Quoc, Nguyen Kim; Tien Bui, Dieu (Journal article, 2019)Background: Consolidation coefficient (Cv) is a key parameter to forecast consolidation settlement of soft soil foundation as well as in treatment design of soft soil foundation, especially when drainage consolidation ... -
Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
Nguyen, Vu Viet; Pham, Binh Thai; Vu, Ba Thao; Prakash, Indra; Jha, Sudan; Shahabi, Himan; Shirzadi, Ataollah; Nguyen Ba, Dong; Kumar, Raghvendra; Chatterjee, Jyotir Moy; Tien Bui, Dieu (Peer reviewed; Journal article, 2019)This paper presents novel hybrid machine learning models, namely Adaptive Neuro Fuzzy Inference System optimized by Particle Swarm Optimization (PSOANFIS), Artificial Neural Networks optimized by Particle Swarm Optimization ...