Pijush Samui

According to our database1, Pijush Samui authored at least 33 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loading.
Intell. Syst. Appl., March, 2024

Applying data augmentation technique on blast-induced overbreak prediction: Resolving the problem of data shortage and data imbalance.
Expert Syst. Appl., March, 2024

Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses.
Earth Sci. Informatics, December, 2023

Liquefaction susceptibility using machine learning based on SPT data.
Intell. Syst. Appl., November, 2023

Comparison of different optimized machine learning algorithms for daily river flow forecasting.
Earth Sci. Informatics, March, 2023

Machine Learning Approach for Prediction of Lateral Confinement Coefficient of CFRP-Wrapped RC Columns.
Symmetry, February, 2023

Reliability analysis of shallow foundation based on settlement criteria.
Int. J. Adv. Intell. Paradigms, 2023

A Liquefaction Study Using ENN, CA, and Biogeography Optimized-Based ANFIS Technique.
Int. J. Appl. Metaheuristic Comput., 2022

A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil.
Eng. Comput., 2022

A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates.
Eng. Comput., 2022

Reliability Analysis of Circular Footing by Using GP and MPMR.
Int. J. Appl. Metaheuristic Comput., 2021

Predicting longitudinal dispersion coefficient in natural streams using minimax probability machine regression and multivariate adaptive regression spline.
Int. J. Adv. Intell. Paradigms, 2021

Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS.
Int. J. Adv. Intell. Paradigms, 2021

A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine.
Eng. Comput., 2021

ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions.
Appl. Soft Comput., 2021

Forecasting heating and cooling loads of buildings: a comparative performance analysis.
J. Ambient Intell. Humaniz. Comput., 2020

Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study.
Eng. Comput., 2020

Predicting groundwater depth fluctuations using deep learning, extreme learning machine and Gaussian process: a comparative study.
Earth Sci. Informatics, 2020

Predicting stable alluvial channel profiles using emotional artificial neural networks.
Appl. Soft Comput., 2019

Deep Learning for Brain Computer Interfaces.
Proceedings of the Handbook of Deep Learning Applications., 2019

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.
Sensors, 2018

Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors.
Comput. Electron. Agric., 2018

Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network.
Proceedings of the Soft Computing Applications, 2016

Site Characterization Using GP, MARS and GPR.
Proceedings of the Handbook of Genetic Programming Applications, 2015

Relevance vector machines approach for long-term flow prediction.
Neural Comput. Appl., 2014

Least square support vector machine and multivariate adaptive regression spline for modeling lateral load capacity of piles.
Neural Comput. Appl., 2013

Multivariate adaptive regression spline (MARS) and least squares support vector machine (LSSVM) for OCR prediction.
Soft Comput., 2012

Multivariate Adaptive Regression Spline and Least Square Support Vector Machine for Prediction of Undrained Shear Strength of Clay.
Int. J. Appl. Metaheuristic Comput., 2012

Site Characterization Model Using Support Vector Machine and Ordinary Kriging.
J. Intell. Syst., 2011

Utilization relevance vector machine for slope reliability analysis.
Appl. Soft Comput., 2011

Application of Soft Computing Techniques to Expansive Soil Characterization.
Proceedings of the Intelligent and Soft Computing in Infrastructure Systems Engineering: Recent Advances, 2009

Relevance Vector Machine Classifier Analysis of Slope.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Confinement Efficiency of R C Columns with Rectangular Ties: A SVM Approach.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007