Pijush Samui

发表

Determination of Rate of Medical Waste Generation Using RVM, MARS and MPMR

J. Jagan, Pijush Samui, Barnali M. Dixon, 2020, Waste Management.

Prediction of Field Hydraulic Conductivity of Clay Liners Using an Artificial Neural Network and Support Vector Machine

Pijush Samui, Sarat Kumar Das, Akshaya Kumar Sabat, 2012 .

A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data

Pijush Samui, Nhat-Duc Hoang, Biswajeet Pradhan, 2018, Sensors.

Modeling of Wind Speed Profile using Soft Computing Techniques

Pijush Samui, Yıldırım Dalkiliç, 2015 .

Determination of the Angle of Shearing Resistance of Soils Using Multivariate Adaptive Regression Spline

Pijush Samui, Dookie Kim, P. Samui, 2015 .

A New SVM Method for Recognizing Polarity of Sentiments in Twitter

Pijush Samui, Sanjiban Sekhar Roy, Marenglen Biba, 2017 .

Machine Learning Techniques Applied to Uniaxial Compressive Strength of Oporto Granite

Manoj Kumar, Pijush Samui, Bhairevi G. Aiyer, 2014 .

Prediction of Rainfall Using Support Vector Machine and Relevance Vector Machine

Pijush Samui, Venkata Ravibabu Mandla, Arun Krishna, 2011 .

Application of Artificial Intelligence to Maximum Dry Density and Unconfined Compressive Strength of Cement Stabilized Soil

Pijush Samui, Sarat Kumar Das, Akshaya Kumar Sabat, 2011 .

Correlation between SPT, CPT and MASW

Pijush Samui, T. G. Sitharam, 2010 .

Application of Geostatistical Models for Estimating Spatial Variability of Rock Depth

Pijush Samui, T. G. Sitharam, P. Samui, 2011 .

Least square support vector machine and multivariate adaptive regression spline for modeling lateral load capacity of piles

Pijush Samui, Dookie Kim, P. Samui, 2012, Neural Computing and Applications.

Modeling of SPT Seismic Liquefaction Data Using Minimax Probability Machine

Pijush Samui, R. Hariharan, 2014, Geotechnical and Geological Engineering.

Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study

Pijush Samui, Nhat-Duc Hoang, Deepak Kumar, 2019, Engineering with Computers.

Use of the Relevance Vector Machine for Prediction of an Overconsolidation Ratio

Pijush Samui, Pradeep Kurup, P. Samui, 2013 .

Determination of Compression Index For Marine Clay: A Least Square Support Vector Machine Approach

Pijush Samui, Dookie Kim, Sarat Kumar Das, 2011 .

Application of Artificial Neural Network and Genetic Programming in Civil Engineering

Pijush Samui, Dhruvan Choubisa, Akash Sharda, 2016 .

Support vector classifier analysis of slope

Pijush Samui, P. Samui, 2013 .

Intelligent Models Applied to Elastic Modulus of Jointed Rock Mass

Pijush Samui, Sanjiban Sekhar Roy, Pradeep Kurup, 2018 .

Application of Soft Computing Techniques to Expansive Soil Characterization

Pijush Samui, Sarat Kumar Das, T. G. Sitharam, 2009, Intelligent and Soft Computing in Infrastructure Systems Engineering.

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering

Pijush Samui, Sanjiban Sekhar Roy, Ravinesh C. Deo, 2018 .

Machine learning techniques applied to prediction of residual strength of clay

Pijush Samui, Sarat Kumar Das, Shakilu Zama Khan, 2011 .

Stability Numbers For Slopes With Associated And Non-Associated Flow Rule And Shake Table Liquefaction Studies

Pijush Samui, 2004 .

SITE CHARACTERIZATION OF (IGCAR) KALPAKKAM USING SOFT COMPUTING TECHNICES

Pijush Samui, Sivathanu Pillai, P. Samui, 2012 .

Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors

Özgür Kisi, Pijush Samui, Zaher Mundher Yaseen, 2018, Comput. Electron. Agric..

Deep Learning for Brain Computer Interfaces

Pijush Samui, Sanjiban Sekhar Roy, Valentina Emilia Balas, 2019, Handbook of Deep Learning Applications.

Potential of regression models in projecting sea level variability due to climate change at Haldia Port, India

Pijush Samui, Thendiyath Roshni, K. Md.Sajid, 2017 .

Site Characterization Model Using Support Vector Machine and Ordinary Kriging

Pijush Samui, Sarat Kumar Das, P. Samui, 2011, J. Intell. Syst..

Applicability of Statistical Learning Algorithms for Spatial Variability of Rock Depth

Pijush Samui, T. G. Sitharam, P. Samui, 2010 .

Determination of Electrical Resistivity of Soil Based on Thermal Resistivity Using RVM and MPMR

Pijush Samui, Dookie Kim, P. Samui, 2016 .

Application of statistical learning algorithms for prediction of liquefaction susceptibility of soil based on shear wave velocity

Pijush Samui, J. Karthikeyan, P. Samui, 2014 .

Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering

Pijush Samui, P. Samui, 2015 .

Site Characterization Using GP, MARS and GPR

J. Jagan, Pijush Samui, Yildirim Dalkiliç, 2015, Handbook of Genetic Programming Applications.

Utilization of a least square support vector machine (LSSVM) for slope stability analysis

Pijush Samui, D. P. Kothari, P. Samui, 2011 .

Utilization relevance vector machine for slope reliability analysis

Pijush Samui, Tim Lansivaara, Dookie Kim, 2011, Appl. Soft Comput..

A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area

Pijush Samui, Nhat-Duc Hoang, Dieu Tien Bui, 2019, Journal of Hydrology.

Determination of stability of epimetamorphic rock slope using Minimax Probability Machine

Pijush Samui, Manoj Kumar, Ajay Kumar Naithani, 2016 .

Relevance vector machine applied to settlement of shallow foundation on cohesionless soils

Pijush Samui, P. Samui, 2008 .

Lateral displacement of liquefaction induced ground using least square support vector machine

Pijush Samui, Nagaratnam Sivakugan, Dookie Kim, 2011 .

Applicability of Data Mining Techniques for Predicting Electrical Resistivity of Soils Based on Thermal Resistivity

Pijush Samui, P. Samui, 2013 .

Prediction of Fracture Parameters of Concrete by Relevance Vector Machine

Pijush Samui, 2015 .

APPLICATION OF LEAST SQUARES SUPPORT VECTOR MACHINE IN SEISMIC ATTENUATION PREDICTION

Pijush Samui, P. Samui, 2009 .

Geotechnical Site Characterization And Liquefaction Evaluation Using Intelligent Models

Pijush Samui, 2009 .

Prediction of fracture characteristics of high strength and ultra high strength concrete beams based on relevance vector machine

Pijush Samui, Nagesh R. Iyer, A. Ramachandra Murthy, 2014 .

Machine Learning in Concrete Technology

Pijush Samui, S. K. Sekar, Kallyan Kulkarni, 2011 .

DETERMINATION OF CONTAMINATATED WELLS TO NO3-N: A NOVEL VULNERABILITY ASSESSMENT TOOL

Pijush Samui, Barnali M. Dixon, 2015 .

Least‐square support vector machine applied to settlement of shallow foundations on cohesionless soils

Pijush Samui, T. G. Sitharam, P. Samui, 2008 .

Multivariate adaptive regression spline (MARS) and least squares support vector machine (LSSVM) for OCR prediction

Pijush Samui, Pradeep Kurup, 2012, Soft Comput..

Reliability Analysis of Pile Foundation Using ELM and MARS

Pijush Samui, Manish Kumar, P. Samui, 2018, Geotechnical and Geological Engineering.

Relevance Vector Machine Classifier Analysis of Slope

Pijush Samui, Sarat Kumar Das, 2007, IICAI.

Developing a New Computational Intelligence Approach for Approximating the Blast-Induced Ground Vibration

Pijush Samui, Mahdi Hasanipanah, Deepak Kumar, 2020, Applied Sciences.

UTILIZATION OF MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARS) FOR PREDICTION OF PULL OUT CAPACITY OF SMALL GROUND ANCHOR

Pijush Samui, Ishan Saini, P. Samui, 2013 .

Vector machine techniques for modeling of seismic liquefaction data

Pijush Samui, P. Samui, 2014 .

Applicability of artificial intelligence to reservoir induced earthquakes

Pijush Samui, Dookie Kim, 2014, Acta Geophysica.

Spatial pattern analysis and prediction of forest fire using new machine learning approach of Multivariate Adaptive Regression Splines and Differential Flower Pollination optimization: A case study at Lao Cai province (Viet Nam).

Pijush Samui, Nhat-Duc Hoang, Dieu Tien Bui, 2019, Journal of environmental management.

Pullout capacity of small ground anchors: a relevance vector machine approach

Pijush Samui, T. G. Sitharam, 2009 .

Reliability Analysis of Quick Sand Condition

J. Jagan, Pijush Samui, Pradeep Kurup, 2016, Geotechnical and Geological Engineering.

Particle Swarm Optimization Algorithm-Extreme Learning Machine (PSO-ELM) Model for Predicting Resilient Modulus of Stabilized Aggregate Bases

Pijush Samui, Jong Wan Hu, Mosbeh R. Kaloop, 2019, Applied Sciences.

Relevance vector machines approach for long-term flow prediction

Pijush Samui, Umut Okkan, Zafer Ali Serbes, 2014, Neural Computing and Applications.

Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network

Pijush Samui, Sanjiban Sekhar Roy, Abhishek Sinha, 2016, SOFA.

Utilization of SVM, LSSVM and GP for Predicting the Medical Waste Generation

J. Jagan, Pijush Samui, Yıldırım Dalkiliç, 2016 .

Intelligent Models in Geotechnical Engineering

Pijush Samui, T. G. Sitharam, 2010 .

Predicting stable alluvial channel profiles using emotional artificial neural networks

Pijush Samui, Bahram Gharabaghi, Hossein Bonakdari, 2019, Appl. Soft Comput..

Handbook of Neural Computation

Pijush Samui, 2017 .

Use of Artificial Intelligence Tools to Determine the Liquefaction-Triggering Potential

Pijush Samui, Ankit, Pallavi Mittal, 2015 .

The Use of a Relevance Vector Machine in Predicting Liquefaction Potential

Pijush Samui, J. Karthikeyan, P. Samui, 2014 .

Support vector machine applied to settlement of shallow foundations on cohesionless soils

Pijush Samui, P. Samui, 2008 .

Buckling of laminated composite skew plate using FEM and machine learning methods

Pijush Samui, Ajay Kumar, Thendiyath Roshni, 2020 .

Predicted ultimate capacity of laterally loaded piles in clay using support vector machine

Pijush Samui, P. Samui, 2008 .

A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping

Pijush Samui, Dieu Tien Bui, Tien Dat Pham, 2019, CATENA.

Determination of Compression Index for Marine Clay: A Relevance Vector Machine Approach

Pijush Samui, Dookie Kim, Sarat Kumar Das, 2012 .

Estimation of Fracture Parameters of Concrete Using LS-SVM Model

Pijush Samui, Kim, Dookie, 2011 .

Prediction of friction capacity of driven piles in clay using the support vector machine

Pijush Samui, P. Samui, 2008 .

Determination of Surface and Hole Quality in Drilling of AISI D2 Cold Work Tool Steel Using MPMR, MARS and LSSVM

Pijush Samui, 2014 .

Artificial Neural Network Prediction of Stability Numbers for Two-layered Slopes with Associated Flow Rule

Pijush Samui, Bimlesh Kumar, B. Kumar, 2006 .

Spatial Variability of Rock Depth in Bangalore Using Geostatistical, Neural Network and Support Vector Machine Models

Pijush Samui, T. G. Sitharam, P. Anbazhagan, 2008 .

Relevance vector machine and multivariate adaptive regression spline for modelling ultimate capacity of pile foundation

Pijush Samui, Mohamed A. Shahin, 2016 .

A New Approach of Hybrid Bee Colony Optimized Neural Computing to Estimate the Soil Compression Coefficient for a Housing Construction Project

Pijush Samui, Nhat-Duc Hoang, Dieu Tien Bui, 2019 .

Confinement Efficiency of R C Columns with Rectangular Ties: A SVM Approach

Pijush Samui, Sk. Faruque Ali, 2007, IICAI.

Performance assessment of genetic programming (GP) and minimax probability machine regression (MPMR) for prediction of seismic ultrasonic attenuation

Pijush Samui, Manoj Kumar, Manav Mittal, 2013 .

Machine learning modelling for predicting soil liquefaction susceptibility

Pijush Samui, T. G. Sitharam, P. Samui, 2011 .

Prediction of Ultimate Capacity of Laterally Loaded Piles in Clay: A Relevance Vector Machine Approach

Pijush Samui, Deepankar Choudhury, Gautam Bhattacharya, 2009 .

Utilization of Statistical Learning Algorithms for Prediction of Elastic Modulus of Jointed Rock Mass

Pijush Samui, 2011 .

Artificial Intelligence in Civil Engineering: AI in Civil Engineering

Pijush Samui, D. P. Kothari, 2012 .

Prediction of uplift capacity of suction caisson in clay using extreme learning machine

Pijush Samui, Sarat Kumar Das, Pradyut Kumar Muduli, 2015 .

Design Optimization of a Wind Turbine Using Artificial Intelligence

Pijush Samui, Dookie Kim, Jagan Jayabalan, 2017 .

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush Samui, P. Samui, 2013 .

Analysis of epimetamorphic rock slopes using soft computing

Pijush Samui, Manoj Kumar, P. Samui, 2014 .

Application of Meta-Models (MPMR and ELM) for Determining OMC, MDD and Soaked CBR Value of Soil:

Pijush Samui, Vishal Shreyans Shah, Henyl Rakesh Shah, 2016 .

Determination of stability of slope using Minimax Probability Machine

Pijush Samui, J. Karthikeyan, Rajadurai Hariharan, 2014 .

Reliability Analysis of Slope Using MPMR, GRNN and GPR

J. Jagan, Pijush Samui, Dhivya Subburaman, 2016 .

Artificial Intelligence in Earthquake Engineering

Pijush Samui, 2010 .

Determination of liquefaction susceptibility of soil: a least square support vector machine approach

Pijush Samui, J. Karthikeyan, P. Samui, 2013 .

Least Square Support Vector Machine Applied to Slope Reliability Analysis

Pijush Samui, Tim Lansivaara, Madhav R. Bhatt, 2013, Geotechnical and Geological Engineering.

Uplift Capacity of Suction Caisson in Clay Using Artificial Intelligence Techniques

Pijush Samui, Pradyut Kumar Muduli, Manas Ranjan Das, 2013 .

Pullout capacity of small ground anchor: a least square support vector machine approach

Pijush Samui, Dookie Kim, Bhairevi G. Aiyer, 2015 .

Determination of Optimum Tool for Efficient Rock Cutting

Pijush Samui, Rahul Kumar, Pradeep Kurup, 2016, Geotechnical and Geological Engineering.

Support vector machine for evaluating seismic-liquefaction potential using shear wave velocity

Pijush Samui, Dookie Kim, T. G. Sitharam, 2011 .

Relevance Vector Machine for Evaluating Seismic Liquefaction Potential Using Shear Wave Velocity

Pijush Samui, T. G. Sitharam, 2010 .

Application of statistical learning algorithms to ultimate bearing capacity of shallow foundation on cohesionless soil

Pijush Samui, P. Samui, 2012 .

Utilization of Classification Techniques for the Determination of Liquefaction Susceptibility of Soils

J. Jagan, Pijush Samui, Prabhakar Gundlapalli, 2016 .

Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

Pijush Samui, Nhat-Duc Hoang, Dieu Tien Bui, 2020 .

Use of Minimax Probability Machine Regression for Modelling of Settlement of Shallow Foundations on Cohesionless Soil

Pijush Samui, 2014 .

Modeling and Simulation Techniques in Structural Engineering

Pijush Samui, Dookie Kim, Subrata Chakraborty, 2016 .

Modeling of tensile strength of rocks materials based on support vector machines approaches

Pijush Samui, Umut Okkan, Nurcihan Ceryan, 2013 .

APPLICATION OF RELEVANCE VECTOR MACHINE IN SEISMIC ATTENUATION PREDICTION

Pijush Samui, 2007 .

Artificial neural network and support vector machine models for evaluating spatial variability of SPT data

Pijush Samui, T. G. Sitharam, 2007 .

Support Vector Classifiers for Prediction of Pile Foundation Performance in Liquefied Ground During Earthquakes

Pijush Samui, Subhamoy Bhattacharya, T. G. Sitharam, 2012 .

Estimating hysteretic energy demand in steel moment resisting frames using Multivariate Adaptive Regression Spline and Least Square Support Vector Machine

Pijush Samui, Jatin Alreja, Shantaram Parab, 2015 .

Application of Relevance Vector Machine for Prediction of Ultimate Capacity of Driven Piles in Cohesionless Soils

Pijush Samui, P. Samui, 2012, Geotechnical and Geological Engineering.

Prediction of Heat Transfer Rate of a Wire-on-Tube Type Heat Exchanger: An Artificial Intelligence Approach☆

Pijush Samui, Anurag Kumra, Nikhil Rawal, 2013 .

Support vector regression based models to predict fracture characteristics of high strength and ultra high strength concrete beams

Pijush Samui, Nagesh R. Iyer, A. Ramachandra Murthy, 2013 .

Forecasting heating and cooling loads of buildings: a comparative performance analysis

Pijush Samui, Sanjiban Sekhar Roy, Hemant Jain, 2020, J. Ambient Intell. Humaniz. Comput..

Classifying Images of Drought-Affected Area Using Deep Belief Network, kNN, and Random Forest Learning Techniques

Pijush Samui, Sanjiban Sekhar Roy, S. S. Roy, 2018 .

SPT-based liquefaction potential assessment by relevance vector machine approach

Pijush Samui, Dookie Kim, J. Karthikeyan, 2013 .

Soft Computing Applied to Rotation Capacity of Wide Flange Beams

Pijush Samui, Dookie Kim, Namrata Kakoti, 2018, Iranian Journal of Science and Technology, Transactions of Civil Engineering.

Determination of Uniaxial Compressive Strength and Modulus of Elasticity of Travertine using Machine Learning Techniques

Manoj Kumar, Pijush Samui, Ajay Kumar, 2013 .

Minimax probability machine regression and extreme learning machine applied to compression index of marine clay

Pijush Samui, Dookie Kim, P. Samui, 2017 .

Site characterization model using least-square support vector machine and relevance vector machine based on corrected SPT data (Nc)

Pijush Samui, T. G. Sitharam, 2009 .

Determination of Bearing Capacity of Shallow Foundation Using Soft Computing

J. Jagan, Pijush Samui, Yıldırım Dalkiliç, 2017 .

Prediction of compressive strength of self-compacting concrete using least square support vector machine and relevance vector machine

Pijush Samui, Dookie Kim, Bhairevi G. Aiyer, 2014, KSCE Journal of Civil Engineering.

Handbook of probabilistic models

Pijush Samui, Ravinesh C. Deo, Dieu Tien Bui, 2020 .

Least square support vector machine and relevance vector machine for evaluating seismic liquefaction potential using SPT

Pijush Samui, 2011 .

Minimax Probability Machine: A New Tool for Modeling Seismic Liquefaction Data

J. Jagan, Pijush Samui, Yıldırım Dalkiliç, 2015 .

Multivariate Adaptive Regression Spline and Least Square Support Vector Machine for Prediction of Undrained Shear Strength of Clay

Pijush Samui, Pradeep Kurup, 2012, Int. J. Appl. Metaheuristic Comput..

Determination of ultimate capacity of driven piles in cohesionless soil: A Multivariate Adaptive Regression Spline approach

Pijush Samui, P. Samui, 2012 .

Operational use of machine learning models for sea-level modeling

Pijush Samui, Thendiyath Roshni, J Drisya, 2019 .

Seismic liquefaction potential assessment by using Relevance Vector Machine

Pijush Samui, P. Samui, 2007 .

A Novel Methodology to Classify Soil Liquefaction Using Deep Learning

Pijush Samui, Deepak Kumar, Anshuman Singh, 2020, Geotechnical and Geological Engineering.

Relevance Vector Machine for Prediction of Soil Properties

Pijush Samui, Sarat Kumar Das, 2011 .

Three-Dimensional Site Characterization Model of Bangalore Using Support Vector Machine

Pijush Samui, P. Samui, 2012 .

Determination of Work Zone Capacity Using ELM, MPMR and GPR

J. Jagan, Pijush Samui, Sangeeta Roy, 2017 .

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area.

Pijush Samui, Nhat-Duc Hoang, Romulus Costache, 2019, The Science of the total environment.

Predicting longitudinal dispersion coefficient in natural streams using minimax probability machine regression and multivariate adaptive regression spline

Pijush Samui, Sanjiban Sekhar Roy, 2021 .

Probabilistic Design of Retaining Wall Using Machine Learning Methods

Pijush Samui, Elham Mahmoudi, Pratishtha Mishra, 2021 .

River flow forecasting using stochastic and neuro-fuzzy-embedded technique: a comprehensive preprocessing-based assessment

Pijush Samui, Bahram Gharabaghi, Hossein Bonakdari, 2021 .

Assessment of rockburst risk using multivariate adaptive regression splines and deep forest model

Pijush Samui, Zhixiong Chen, Deping Guo, 2021, Acta Geotechnica.

Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms

Pijush Samui, Avijit Burman, T. Pradeep, 2021, Infrastructures.

ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions

Pijush Samui, Siddhartha Bhattacharyya, Amir H. Gandomi, 2021, Appl. Soft Comput..

Efficient computational techniques for predicting the California bearing ratio of soil in soaked conditions

Pijush Samui, Panagiotis G. Asteris, Candan Gokceoglu, 2021 .

Reliability Analysis of Pile Foundation Using Soft Computing Techniques: A Comparative Study

Pijush Samui, Jong Wan Hu, Mosbeh R. Kaloop, 2021, Processes.

Evaluation of combined use of drought indices in the case of Konya Closed Basin

Pijush Samui, Metin Bayçinar, Huseyin Yildirim Dalkilic, 2021 .

Predicting longitudinal dispersion coefficient in natural streams using minimax probability machine regression and multivariate adaptive regression spline

Pijush Samui, Sanjiban Sekhar Roy, 2021, Int. J. Adv. Intell. Paradigms.

Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests

Paulo B. Lourenço, Pijush Samui, Panagiotis G. Asteris, 2021 .

Modelling the energy performance of residential buildings using advanced computational frameworks based on RVM, GMDH, ANFIS-BBO and ANFIS-IPSO

Pijush Samui, Dookie Kim, Navid Kardani, 2021 .

Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS

Pijush Samui, Sanjiban Sekhar Roy, Sunita Kumari, 2021, Int. J. Adv. Intell. Paradigms.

Reliability Analysis of Retaining Wall Using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS)

Pijush Samui, Pratishtha Mishra, 2021 .

Novel application of adaptive swarm intelligence techniques coupled with adaptive network-based fuzzy inference system in predicting photovoltaic power

Pijush Samui, Jong Wan Hu, Mosbeh R. Kaloop, 2021 .

A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil

Pijush Samui, Danial Jahed Armaghani, Majidreza Nazem, 2021, Engineering with Computers.

Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS

Pijush Samui, Sanjiban Sekhar Roy, Sunita Kumari, 2021 .

Pareto design of multiobjective evolutionary neuro-fuzzy system for predicting scour depth around bridge piers

Pijush Samui, Bahram Gharabaghi, Ali Jamali, 2021 .

Reliability Analysis of Piled Raft Foundation Using a Novel Hybrid Approach of ANN and Equilibrium Optimizer

Pijush Samui, Bojan Žlender, Avijit Burman, 2021, Computer Modeling in Engineering & Sciences.

Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine

Pijush Samui, Majidreza Nazem, Navid Kardani, 2021, Acta Geotechnica.

Efficient soft computing techniques for the prediction of compressive strength of geopolymer concrete

Pijush Samui, Danial Jahed Armaghani, Baboo Rai, 2021 .

Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

Pijush Samui, Panagiotis G. Asteris, Kypros Pilakoutas, 2021, Cement and Concrete Research.

Determination of seismic liquefaction potential of soil based on strain energy concept

Pijush Samui, R. Hariharan, Dookie Kim, 2015, Environmental Earth Sciences.

A comparative study of ordinary kriging and support vector machine models for the spatial variability of rock depth in Bangalore

Pijush Samui, T. G. Sitharam, 2008 .

Reliability Analysis of Infinite Slope Using Metamodels

Pijush Samui, Sunita Kumari, Rahul Kumar, 2017, Geotechnical and Geological Engineering.

Modeling of Elastic Modulus of Jointed Rock Mass: Gaussian Process Regression Approach

Pijush Samui, Madhav R. Bhatt, P. Samui, 2014 .

Stability determination for layered soil slopes using the upper bound limit analysis

Jyant Kumar, Pijush Samui, P. Samui, 2006 .

A Multivariate Adaptive Regression Spline Approach for Prediction of Maximum Shear Modulus and Minimum Damping Ratio

Pijush Samui, D. P. Kothari, P. Samui, 2012 .

Application of support vector machine and relevance vector machine to determine evaporative losses in reservoirs

Pijush Samui, Barnali M. Dixon, P. Samui, 2012 .

Determination of reservoir induced earthquake using support vector machine and gaussian process regression

Pijush Samui, Dookie Kim, P. Samui, 2013, Applied Geophysics.

Model of Least Square Support Vector Machine (LSSVM) for Prediction of Fracture Parameters of Concrete

Pijush Samui, Dookie Kim, S. K. Sekar, 2011 .

Reliability Analysis of Slope Safety Factor by Using GPR and GP

Pijush Samui, Dieu Tien Bui, Sunita Kumari, 2018, Geotechnical and Geological Engineering.

A Multivariate Adaptive Regression Spline Approach for Prediction of Maximum Shear Modulus ( G max ) and Minimum Damping Ratio ( min )

Pijush Samui, Dwarkadas Pralhaddas Kothari, P. Samui, 2013 .

Multivariate Adaptive Regression Spline (Mars) for Prediction of Elastic Modulus of Jointed Rock Mass

Pijush Samui, P. Samui, 2012, Geotechnical and Geological Engineering.

Determination of Uplift Capacity of Suction Caisson Using Gaussian Process Regression, Minimax Probability Machine Regression and Extreme Learning Machine

J. Jagan, Pijush Samui, Sanjiban Sekhar Roy, 2018, Iranian Journal of Science and Technology, Transactions of Civil Engineering.

Forecasting Evaporative Loss by Least-Square Support-Vector Regression and Evaluation with Genetic Programming, Gaussian Process, and Minimax Probability Machine Regression: Case Study of Brisbane City

Pijush Samui, Ravinesh C. Deo, R. Deo, 2017 .

Utilization of relevance vector machine for rock slope stability analysis

Pijush Samui, P. Samui, 2011 .

Forecasting monthly precipitation using sequential modelling

Pijush Samui, Anshuman Singh, Deepak Kumar, 2019, Hydrological Sciences Journal.

Utilization of support vector machine for prediction of fracture parameters of concrete

Pijush Samui, Dookie Kim, 2012 .

Utilization of Gaussian Process Regression for Determination of Soil Electrical Resistivity

Pijush Samui, P. Samui, 2014, Geotechnical and Geological Engineering.

Prediction of Compressive Strength of Self-Compacting Concrete Using Intelligent Computational Modeling

Pijush Samui, Dookie Kim, Susom Dutta, 2018 .

Determination of compressive strength using relevance vector machine and emotional neural network

Pijush Samui, Baboo Rai, Rahul Biswas, 2019, Asian Journal of Civil Engineering.

An Alternative Method for Determination of Liquefaction Susceptibility of Soil

J. Jagan, Pijush Samui, R. Hariharan, 2016, Geotechnical and Geological Engineering.

Modelling of reservoir-induced earthquakes: a multivariate adaptive regression spline

Pijush Samui, Dookie Kim, P. Samui, 2012 .

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

J. Jagan, Pijush Samui, P. Samui, 2013 .

Prediction of swelling pressure of soil using artificial intelligence techniques

Pijush Samui, Akshaya Kumar Sabat, T. G. Sitharam, 2010 .

Prediction of pile bearing capacity using support vector machine

Pijush Samui, P. Samui, 2011 .

A New Integrated Approach Based on the Iterative Super-Resolution Algorithm and Expectation Maximization for Face Hallucination

Pijush Samui, Y. Harold Robinson, Le Hoang Son, 2020 .

Multivariate adaptive regression spline applied to friction capacity of driven piles in clay

Pijush Samui, P. Samui, 2011 .

Application of ANN for predicting pore water pressure response in a shake table test

Pijush Samui, Bimlesh Kumar, B. Kumar, 2008 .

Statistical learning algorithms for identifying contrasting tillage practices with Landsat Thematic Mapper data

Pijush Samui, Thomas Oommen, Terry A. Howell, 2012 .