Indra Prakash

发表

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

D. Bui, B. Pham, M. Dholakia, 2017 .

Bagging based Support Vector Machines for spatial prediction of landslides

B. Pham, Indra Prakash, D. Tien Bui, 2018, Environmental Earth Sciences.

Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier

D. Bui, B. Pham, Indra Prakash, 2018, Journal of the Indian Society of Remote Sensing.

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran.

B. Pham, Inge Revhaug, Indra Prakash, 2018, The Science of the total environment.

Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

D. Bui, B. Pham, Indra Prakash, 2019, CATENA.

A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

B. Pradhan, B. Pham, Indra Prakash, 2019, Journal of Hydrology.

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 the Himalayan area, India

D. Bui, B. Pham, M. Dholakia, 2017, International Journal of Sediment Research.

Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees

D. Bui, B. Pham, Indra Prakash, 2018 .

A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS

B. Pham, M. Dholakia, Indra Prakash, 2017, Environmental Earth Sciences.

Evaluation of predictive ability of support vector machines and naive Bayes trees methods for spatial prediction of landslides in Uttarakhand state (India) using GIS

Binh Thai Pham, Indra Prakash, DieuTien Bui, 2016 .

Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS

B. Pham, M. Dholakia, Indra Prakash, 2016, Natural Hazards.

Evaluation and comparison of LogitBoost Ensemble, Fisher’s Linear Discriminant Analysis, logistic regression and support vector machines methods for landslide susceptibility mapping

B. Pham, Indra Prakash, 2019 .

Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

D. Bui, B. Pham, Indra Prakash, 2019, Forests.

A Comparative Study of Least Square Support Vector Machines and Multiclass Alternating Decision Trees for Spatial Prediction of Rainfall-Induced Landslides in a Tropical Cyclones Area

B. Pham, M. Dholakia, Indra Prakash, 2016, Geotechnical and Geological Engineering.

Development of advanced artificial intelligence models for daily rainfall prediction

Binh Thai Pham, Tien-Thinh Le, Hai-Bang Ly, 2020, Atmospheric Research.

Application and Comparison of Decision Tree-Based Machine Learning Methods in Landside Susceptibility Assessment at Pauri Garhwal Area, Uttarakhand, India

Khabat Khosravi, Binh Thai Pham, Indra Prakash, 2017, Environmental Processes.

GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment

Nadhir Al-Ansari, Binh Thai Pham, Saeid Janizadeh, 2020, Water.

Landslide susceptibility modelling using different advanced decision trees methods

Indra Prakash, D. Tien Bui, Binh Thai Pham, 2018, Civil Engineering and Environmental Systems.

GIS based frequency ratio method for landslide susceptibility mapping at Da Lat City, Lam Dong province, Vietnam

B. Pham, Indra Prakash, A. Jaafari, 2020 .

A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

Lanh Si Ho, B. Pham, Indra Prakash, 2020, Water.

Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran

B. Pham, Indra Prakash, Saro Lee, 2019, Sustainability.

GIS-based ensemble soft computing models for landslide susceptibility mapping

Huy Quoc Le, Binh Thai Pham, Trung Nguyen-Thoi, 2020 .

A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil

Nadhir Al-Ansari, Binh Thai Pham, Trung Nguyen-Thoi, 2020, Sustainability.

Novel Ensemble Landslide Predictive Models Based on the Hyperpipes Algorithm: A Case Study in the Nam Dam Commune, Vietnam

Nadhir Al-Ansari, Trung Hieu Tran, Binh Thai Pham, 2020, Applied Sciences.

Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

Nadhir Al-Ansari, Binh Thai Pham, Abolfazl Jaafari, 2020, Applied Sciences.

Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam

B. Pham, Indra Prakash, Chinh Luu, 2021, Journal of Hydrology.

GIS-Based Logistic Regression Application for Landslide Susceptibility Mapping in Son La Hydropower Reservoir Basin

B. Pham, Indra Prakash, P. T. Trinh, 2021, Lecture Notes in Civil Engineering.

Application of Classification and Regression Trees for Spatial Prediction of Rainfall-Induced Shallow Landslides in the Uttarakhand Area (India) Using GIS

D. Bui, B. Pham, Indra Prakash, 2018 .

Spatial Prediction of Rainfall Induced Shallow Landslides Using Adaptive-Network-Based Fuzzy Inference System and Particle Swarm Optimization: A Case Study at the Uttarakhand Area, India

Binh Thai Pham, Indra Prakash, B. Pham, 2017 .

Landslide Hazard Assessment Using Random SubSpace Fuzzy Rules Based Classifier Ensemble and Probability Analysis of Rainfall Data: A Case Study at Mu Cang Chai District, Yen Bai Province (Viet Nam)

Indra Prakash, Dieu Tien Bui, B. Pham, 2017, Journal of the Indian Society of Remote Sensing.

Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis.

Binh Thai Pham, Le Hoang Son, Tien-Thinh Le, 2019, The Science of the total environment.

A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil

Dieu Tien Bui, Kamran Chapi, Binh Thai Pham, 2019, CATENA.

Soft-computing techniques for prediction of soils consolidation coefficient

Dieu Tien Bui, Binh Thai Pham, Le Hoang Son, 2020 .

A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers

Dieu Tien Bui, Ataollah Shirzadi, Binh Thai Pham, 2019, Geocarto International.

Development and application of hybrid artificial intelligence models for groundwater potential mapping and assessment

Indra Prakash, Hiep Van Le, Mohammadtaghi Avand, 2022, Vietnam Journal of Earth Sciences.

Novel approach for soil classification using machine learning methods

B. Pham, Indra Prakash, Hiep Van Le, 2022, Bulletin of Engineering Geology and the Environment.

Analysis of Optimum Number of Rain Gauge in Shetrunji River Basin, Gujarat - India

M. Dholakia, Indra Prakash, K. Mahmood, 2016 .

IMPORTANCE OF 24-HR AMBULATORY BLOOD PRESSURE MONITORING IN CHRONIC KIDNEY DISEASE PROGRESSION.

Indra Prakash, Arvind Gupta, N. Mishra, 2016 .

Novel approach for soil classification using machine learning methods

B. Pham, Indra Prakash, Hiep Van Le, 2022, Bulletin of Engineering Geology and the Environment.

Flood susceptibility modeling using Radial Basis Function Classifier and Fisher’s linear discriminant function

Indra Prakash, Chinh Luu, Binh Thai Pham, 2021, Vietnam Journal of Earth Sciences.

Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive strength of concrete using rebound hammer field test

Fazal E. Jalal, B. Pham, Indra Prakash, 2022, Frontiers of Structural and Civil Engineering.

Landslide susceptibility mapping at sin Ho, Lai Chau province, Vietnam using ensemble models based on fuzzy unordered rules induction algorithm

D. M. Duc, B. Pham, Indra Prakash, 2022, Geocarto International.

A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping

Wei Chen, Dieu Tien Bui, Binh Thai Pham, 2019, Sustainability.

A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

Dieu Tien Bui, Binh Thai Pham, Indra Prakash, 2019, Bulletin of Engineering Geology and the Environment.

Landslide Susceptibility Assessment Using Bagging Ensemble Based Alternating Decision Trees, Logistic Regression and J48 Decision Trees Methods: A Comparative Study

Dieu Tien Bui, Indra Prakash, Binh Thai Pham, 2017, Geotechnical and Geological Engineering.

Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS

Dieu Tien Bui, Binh Thai Pham, Indra Prakash, 2017 .

A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)

Biswajeet Pradhan, Dieu Tien Bui, Binh Thai Pham, 2016, Environ. Model. Softw..

An integrated approach of GIS-AHP-MCE methods for the selection of suitable sites for the shrimp farming and mangrove development- A case study of the coastal area of Vietnam

Indra Prakash, Tuyen Thi Tran, T. T. Hoang, 2022, SAINS TANAH - Journal of Soil Science and Agroclimatology.

Groundwater Potential Mapping Using GIS‐Based Hybrid Artificial Intelligence Methods

Lanh Si Ho, B. Pham, Indra Prakash, 2021, Ground water.

Locally weighted learning based hybrid intelligence models for groundwater potential mapping and modeling: A case study at Gia Lai province, Vietnam

Nguyen Van Tao, Duong Hai Ha, B. Pham, 2021 .

Hybrid computational intelligence models for groundwater potential mapping

Dieu Tien Bui, Binh Thai Pham, Sushant K. Singh, 2019, CATENA.

Hybrid Model: Teaching Learning-Based Optimization of Artificial Neural Network (TLBO-ANN) for the Prediction of Soil Permeability Coefficient

B. Pham, Indra Prakash, H. V. Le, 2022, Mathematical Problems in Engineering.

A Comparative Study of Soft Computing Models for Prediction of Permeability Coefficient of Soil

Lanh Si Ho, B. Pham, Indra Prakash, 2021, Mathematical Problems in Engineering.

Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil

Nadhir Al-Ansari, Binh Thai Pham, Hai-Bang Ly, 2021 .

Spatial prediction of landslides along National Highway-6, Hoa Binh province, Vietnam using novel hybrid models

B. Pham, Indra Prakash, T. Phong, 2021, Geocarto International.

A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment.

Frank T.-C. Tsai, Vijay P. Singh, Khabat Khosravi, 2018, The Science of the total environment.

Flood risk assessment using deep learning integrated with multi-criteria decision analysis

Jason von Meding, Binh Thai Pham, Indra Prakash, 2021, Knowl. Based Syst..

Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers

Binh Thai Pham, Trung Nguyen-Thoi, Sushant K. Singh, 2020, Geocarto International.

A novel hybrid model of Bagging-based Naïve Bayes Trees for landslide susceptibility assessment

Binh Thai Pham, Indra Prakash, B. Pham, 2019, Bulletin of Engineering Geology and the Environment.

Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam

Binh Thai Pham, Sushant K. Singh, Hai-Bang Ly, 2019, Geocarto International.

Naïve Bayes ensemble models for groundwater potential mapping

Nguyen Van Tao, B. Pham, Indra Prakash, 2021, Ecol. Informatics.

Performance assessment of artificial neural network using chi-square and backward elimination feature selection methods for landslide susceptibility analysis

Tri Dev Acharya, B. Pham, Indra Prakash, 2021, Environmental Earth Sciences.

Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam

Nadhir Al-Ansari, Abolfazl Jaafari, Indra Prakash, 2020, International journal of environmental research and public health.

Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction

Nadhir Al-Ansari, Binh Thai Pham, Abolfazl Jaafari, 2020, Symmetry.

GIS-based ensemble computational models for flood susceptibility prediction in the Quang Binh Province, Vietnam

B. Pham, Indra Prakash, Chinh Luu, 2021 .

A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling

Dieu Tien Bui, Khabat Khosravi, Kamran Chapi, 2018, Geocarto International.

Rainfall induced landslide susceptibility mapping using novel hybrid soft computing methods based on multi-layer perceptron neural network classifier

Romulus Costache, Neelima Satyam, Binh Thai Pham, 2020, Geocarto International.

Exploring novel hybrid soft computing models for landslide susceptibility mapping in Son La hydropower reservoir basin

B. Pham, Indra Prakash, N. Dung, 2021, Geomatics, Natural Hazards and Risk.

Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides

Neelima Satyam, Binh Thai Pham, Trung Nguyen-Thoi, 2020, Int. J. Digit. Earth.

Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling

Nadhir Al-Ansari, Binh Thai Pham, Indra Prakash, 2020, Sustainability.

Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm

Binh Thai Pham, Trung Nguyen-Thoi, Abolfazl Jaafari, 2021, Ecol. Informatics.

Prediction of soil unconfined compressive strength using Artificial Neural Network Model

Indra Prakash, Thuy-Anh Nguyen, Hoang-Anh Le, 2020 .

GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam

Binh Thai Pham, Ata Amini, Indra Prakash, 2019 .

Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction

Dieu Tien Bui, Ataollah Shirzadi, Binh Thai Pham, 2019, Applied Sciences.

Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping

Binh Thai Pham, Trung Nguyen-Thoi, Indra Prakash, 2020 .

Estimation of Runoff and Soil Erosion for Vishwamitri River Watershed, Western India Using RS and GIS

Indra Prakash, P. Lodha, V. Pancholi, 2015 .

GIS-Based Soft Computing Models for Landslide Susceptibility Mapping: A Case Study of Pithoragarh District, Uttarakhand State, India

Lanh Si Ho, Fazal E. Jalal, B. Pham, 2021, Mathematical Problems in Engineering.

Landslide susceptibility mapping using state-of-the-art machine learning ensembles

Romulus Costache, Binh Thai Pham, Indra Prakash, 2021, Geocarto International.

Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping

Duong Hai Ha, B. Pham, Indra Prakash, 2021, Water Resources Management.

Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India

B. Pham, Indra Prakash, T. Phong, 2021, Advances in Civil Engineering.

Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis

Ataollah Shirzadi, Kamran Chapi, Binh Thai Pham, 2019, The Open Construction and Building Technology Journal.

Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India

B. Pham, Indra Prakash, H. V. Le, 2022, Advances in Civil Engineering.

Estimation of Seepage Flow Using Optimized Artificial Intelligent Models

B. Pham, Indra Prakash, Issam Rehamnia, 2023, Geotechnical and Geological Engineering.

A Novel Hybrid Intelligent Approach of Random Subspace Ensemble and Reduced Error Pruning Trees for Landslide Susceptibility Modeling: A Case Study at Mu Cang Chai District, Yen Bai Province, Viet Nam

Binh Thai Pham, Indra Prakash, B. Pham, 2017 .

Ensemble models based on radial basis function network for landslide susceptibility mapping

D. M. Duc, B. Pham, Indra Prakash, 2023, Environmental Science and Pollution Research.

Estimation of the undrained shear strength of sensitive clays using optimized inference intelligence system

Lanh Si Ho, B. Pham, Indra Prakash, 2022, Neural Computing and Applications.

Prediction of soil loss due to erosion using support vector machine model

Indra Prakash, V. Tran, 2020 .

Identification, Monitoring, and Assessment of an Active Landslide in Tavan-Hauthao, Sapa, Laocai, Vietnam – A Multidisciplinary Approach

Civil, Lanh Si Ho, Hoang Viet Hung, 2021 .

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system

Fazal E. Jalal, B. Pham, Indra Prakash, 2023, Frontiers of Structural and Civil Engineering.

Using Decision Tree J48 Based Machine Learning Algorithm for Flood Susceptibility Mapping: A Case Study in Quang Binh Province, Vietnam

B. Pham, Indra Prakash, Chinh Luu, 2021, Lecture Notes in Civil Engineering.

Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas

Lanh Si Ho, B. Pham, Indra Prakash, 2023, Stochastic Environmental Research and Risk Assessment.

Improving Voting Feature Intervals for Spatial Prediction of Landslides

Nadhir Al-Ansari, Binh Thai Pham, Sushant K. Singh, 2020, Mathematical Problems in Engineering.

Estimation of shear strength parameters of soil using Optimized Inference Intelligence System

Binh Thai Pham, Indra Prakash, Manh Duc Nguyen, 2021, VIETNAM JOURNAL OF EARTH SCIENCES.

Landslide susceptibility mapping using Forest by Penalizing Attributes (FPA) algorithm based machine learning approach

Hai-Bang Ly, Indra Prakash, Tran Van Phong, 2020, VIETNAM JOURNAL OF EARTH SCIENCES.

Hybrid artificial intelligence models based on adaptive neuro fuzzy inference system and metaheuristic optimization algorithms for prediction of daily rainfall

Kien-Trinh Thi Bui, Indra Prakash, H. Ly, 2024, Physics and Chemistry of the Earth, Parts A/B/C.

Prediction of coastal erosion susceptible areas of Quang Nam Province, Vietnam using machine learning models

Bui Nhi Thanh, Indra Prakash, T. Phong, 2023, Earth Sci. Informatics.

Application of Observational Method in the Successful Construction of Underground Structures, Sardar Sarovar (Narmada) Project, Gujarat, India

Indra Prakash, 2013 .

Rock Mass Evaluation of the Sardar Sarovar (Narmada) Dam and Underground Powerhouse, India

Indra Prakash, Nikhil Desai, 2004 .

Estimation of Recompression Coefficient of Soil Using a Hybrid ANFIS-PSO Machine Learning Model

B. Pham, Indra Prakash, Hiep Van Le, 2023, Journal of Engineering Research.

Ensemble Soft Computing Models for Prediction of Deflection of Steel–Concrete Composite Bridges

B. Pham, Indra Prakash, D. D. Nguyen, 2023, Arabian Journal for Science and Engineering.