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Professor Biswajeet Pradhan, SMIEEE, Humboldt Fellow
Professor Biswajeet Pradhan, SMIEEE, Humboldt Fellow
Distinguished Prof. & Director, CAMGIS Center, University of Technology Sydney, Australia
Verified email at uts.edu.au - Homepage
Title
Cited by
Cited by
Year
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
12442013
Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models
S Lee, B Pradhan
Landslides 4 (1), 33-41, 2007
11822007
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic …
D Tien Bui, TA Tuan, H Klempe, B Pradhan, I Revhaug
Landslides 13, 361-378, 2016
11672016
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
10652010
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, 965-996, 2012
10432012
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
9422014
A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
W Chen, X Xie, J Wang, B Pradhan, H Hong, DT Bui, Z Duan, J Ma
Catena 151, 147-160, 2017
8302017
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
8292013
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, 135-165, 2013
8042013
Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
MS Tehrany, B Pradhan, S Mansor, N Ahmad
Catena 125, 91-101, 2015
7122015
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, 251-264, 2012
6992012
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, 1037-1054, 2010
6792010
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 (1), 974638, 2012
5832012
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
5612012
Application of GIS based data driven evidential belief function model to predict groundwater potential zonation
H Nampak, B Pradhan, M Abd Manap
Journal of Hydrology 513, 283-300, 2014
5532014
Flash flood risk estimation along the St. Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery
AM Youssef, B Pradhan, AM Hassan
Environmental Earth Sciences 62 (3), 611-623, 2011
5442011
Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya
AD Regmi, KC Devkota, K Yoshida, B Pradhan, HR Pourghasemi, ...
Arabian Journal of Geosciences 7, 725-742, 2014
5242014
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
5222019
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
5192011
Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing
B Pradhan
Journal of Spatial Hydrology 9 (2), 2010
5152010
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