Indra Prakash
Indra Prakash
Bhaskaracharya Institute For Space Applications and Geoinformatics
Verified email at bisag.gujarat.gov.in
Title
Cited by
Cited by
Year
Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS
BT Pham, DT Bui, I Prakash, MB Dholakia
Catena 149, 52-63, 2017
2562017
A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
BT Pham, B Pradhan, DT Bui, I Prakash, MB Dholakia
Environmental Modelling & Software 84, 240-250, 2016
2322016
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
K Khosravi, BT Pham, K Chapi, A Shirzadi, H Shahabi, I Revhaug, ...
Science of the Total Environment 627, 744-755, 2018
2222018
Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of na´ve bayes, multilayer perceptron neuralá…
BT Pham, DT Bui, HR Pourghasemi, P Indra, MB Dholakia
Theoretical and Applied Climatology 128 (1-2), 255-273, 2017
1822017
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
1142019
Spatial prediction of landslides using a hybrid machine learning approach based on random subspace and classification and regression trees
BT Pham, I Prakash, DT Bui
Geomorphology 303, 256-270, 2018
1042018
Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
BT Pham, I Prakash, SK Singh, A Shirzadi, H Shahabi, DT Bui
Catena 175, 203-218, 2019
992019
A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling
BT Pham, A Jaafari, I Prakash, DT Bui
Bulletin of Engineering Geology and the Environment 78 (4), 2865-2886, 2019
962019
A comparative study of least square support vector machines and multiclass alternating decision trees for spatial prediction of rainfall-induced landslides in a tropicalá…
BT Pham, DT Bui, MB Dholakia, I Prakash, HV Pham
Geotechnical and Geological Engineering 34 (6), 1807-1824, 2016
912016
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 theá…
BT Pham, A Shirzadi, DT Bui, I Prakash, MB Dholakia
International Journal of Sediment Research 33 (2), 157-170, 2018
812018
Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS
BT Pham, DT Bui, I Prakash, MB Dholakia
Natural Hazards 83 (1), 97-127, 2016
802016
A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil
BT Pham, MD Nguyen, KTT Bui, I Prakash, K Chapi, DT Bui
Catena 173, 302-311, 2019
652019
Hybrid machine learning approaches for landslide susceptibility modeling
VV Nguyen, BT Pham, BT Vu, I Prakash, S Jha, H Shahabi, A Shirzadi, ...
Forests 10 (2), 157, 2019
622019
Bagging based support vector machines for spatial prediction of landslides
BT Pham, DT Bui, I Prakash
Environmental earth sciences 77 (4), 146, 2018
612018
Landslide susceptibility assessment using bagging ensemble based alternating decision trees, logistic regression and J48 decision trees methods: a comparative study
BT Pham, DT Bui, I Prakash
Geotechnical and Geological Engineering 35 (6), 2597-2611, 2017
592017
A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers
BT Pham, I Prakash, J Dou, SK Singh, PT Trinh, HT Tran, TM Le, ...
Geocarto International 35 (12), 1267-1292, 2020
552020
A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment
K Khosravi, M Sartaj, FTC Tsai, VP Singh, N Kazakis, AM Melesse, ...
Science of the total environment 642, 1032-1049, 2018
552018
Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
BT Pham, MD Nguyen, D Van Dao, I Prakash, HB Ly, TT Le, LS Ho, ...
Science of The Total Environment 679, 172-184, 2019
542019
A novel ensemble classifier of rotation forest and Na´ve Bayer for landslide susceptibility assessment at the Luc Yen district, Yen Bai Province (Viet Nam) using GIS
BT Pham, DT Bui, MB Dholakia, I Prakash, HV Pham, K Mehmood, HQ Le
Geomatics, Natural Hazards and Risk 8 (2), 649-671, 2017
542017
Application and comparison of decision tree-based machine learning methods in landside susceptibility assessment at Pauri Garhwal Area, Uttarakhand, India
BT Pham, K Khosravi, I Prakash
Environmental Processes 4 (3), 711-730, 2017
532017
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