Biswajeet Pradhan (SMIEEE)
Biswajeet Pradhan (SMIEEE)
Distinguished Prof. & Director, CAMGIS, UTS, Australia; Highly Cited Researcher
Verified email at - Homepage
Cited by
Cited by
Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models
S Lee, B Pradhan
Landslides 4 (1), 33-41, 2007
A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
B Pradhan
Computers & Geosciences 51, 350-365, 2013
Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic …
B Pradhan, S Lee
Environmental Modelling & Software 25 (6), 747-759, 2010
Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran
HR Pourghasemi, B Pradhan, C Gokceoglu
Natural hazards 63 (2), 965-996, 2012
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic …
DT Bui, TA Tuan, H Klempe, B Pradhan, I Revhaug
Landslides 13 (2), 361-378, 2016
Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
B Pradhan, S Lee
Environmental Earth Sciences 60 (5), 1037-1054, 2010
Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in …
KC Devkota, AD Regmi, HR Pourghasemi, K Yoshida, B Pradhan, IC Ryu, ...
Natural hazards 65 (1), 135-165, 2013
Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
MS Tehrany, B Pradhan, MN Jebur
Journal of hydrology 512, 332-343, 2014
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
MS Tehrany, B Pradhan, MN Jebur
Journal of Hydrology 504, 69-79, 2013
Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia
B Pradhan, S Lee
Landslides 7 (1), 13-30, 2010
Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area
HJ Oh, B Pradhan
Computers & Geosciences 37 (9), 1264-1276, 2011
Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia
S Lee, B Pradhan
Journal of Earth System Science 115 (6), 661-672, 2006
An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia
MB Kia, S Pirasteh, B Pradhan, AR Mahmud, WNA Sulaiman, A Moradi
Environmental Earth Sciences 67 (1), 251-264, 2012
Landslide susceptibility assessment in vietnam using support vector machines, decision tree, and Naive Bayes Models
D Tien Bui, B Pradhan, O Lofman, I Revhaug
Mathematical problems in Engineering 2012, 2012
Landslide susceptibility mapping at Golestan Province, Iran: a comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models
M Mohammady, HR Pourghasemi, B Pradhan
Journal of Asian Earth Sciences 61, 221-236, 2012
Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models
DT Bui, B Pradhan, O Lofman, I Revhaug, OB Dick
Catena 96, 28-40, 2012
Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing
B Pradhan
Journal of Spatial Hydrology 9 (2), 2010
Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran
HR Pourghasemi, M Mohammady, B Pradhan
Catena 97, 71-84, 2012
Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS
DT Bui, B Pradhan, O Lofman, I Revhaug, OB Dick
Computers & Geosciences 45, 199-211, 2012
Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia
B Pradhan
Advances in space research 45 (10), 1244-1256, 2010
The system can't perform the operation now. Try again later.
Articles 1–20