Pijush Samui

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loading.

Divesh Ranjan Kumar, Warit Wipulanusat, Manish Kumar, Suraparb Keawsawasvong, Pijush Samui

Intell. Syst. Appl., March, 2024

Applying data augmentation technique on blast-induced overbreak prediction: Resolving the problem of data shortage and data imbalance.

Biao He, Danial Jahed Armaghani, Sai Hin Lai, Pijush Samui, Edy Tonnizam Mohamad

Expert Syst. Appl., March, 2024

2023

Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses.

Divesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat, Suraparb Keawsawasvong, Kongtawan Sangjinda, Wittaya Jitchaijaroen

Earth Sci. Informatics, December, 2023

Liquefaction susceptibility using machine learning based on SPT data.

Divesh Ranjan Kumar, Pijush Samui, Avijit Burman, Warit Wipulanusat, Suraparb Keawsawasvong

Intell. Syst. Appl., November, 2023

Comparison of different optimized machine learning algorithms for daily river flow forecasting.

Pijush Samui, Sefa Nur Yesilyurt, Huseyin Yildirim Dalkilic, Zaher Mundher Yaseen, Sanjiban Sekhar Roy, Sanjay Kumar

Earth Sci. Informatics, March, 2023

Machine Learning Approach for Prediction of Lateral Confinement Coefficient of CFRP-Wrapped RC Columns.

Xingsi Xue, Celestine Makota, Osamah Ibrahim Khalaf, Jagan Jayabalan, Pijush Samui, Ghaida Muttashar Abdulsahib

Symmetry, February, 2023

Reliability analysis of shallow foundation based on settlement criteria.

Pijush Samui, Aditi Palsapure, Sanjiban Sekhar Roy

Int. J. Adv. Intell. Paradigms, 2023

2022

A Liquefaction Study Using ENN, CA, and Biogeography Optimized-Based ANFIS Technique.

Sujeet K. Umar, Sunita Kumari, Pijush Samui, Deepak Kumar

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.

Navid Kardani, Abidhan Bardhan, Pijush Samui, Majidreza Nazem, Annan Zhou, Danial Jahed Armaghani

Eng. Comput., 2022

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

Navid Kardani, Abidhan Bardhan, Bishwajit Roy, Pijush Samui, Majidreza Nazem, Danial Jahed Armaghani, Annan Zhou

Eng. Comput., 2022

2021

Reliability Analysis of Circular Footing by Using GP and MPMR.

Rahul Kumar, Pijush Samui, Sunita Kumari, Yildirim Dalkiliç

Int. J. Appl. Metaheuristic Comput., 2021

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

Sanjiban Sekhar Roy, Pijush Samui

Int. J. Adv. Intell. Paradigms, 2021

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

Rahul Kumar, Pijush Samui, Sunita Kumari, Sanjiban Sekhar Roy

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.

Danial Jahed Armaghani, Deepak Kumar, Pijush Samui, Mahdi Hasanipanah, Bishwajit Roy

Eng. Comput., 2021

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

Abidhan Bardhan, Pijush Samui, Kuntal Ghosh, Amir H. Gandomi, Siddhartha Bhattacharyya

Appl. Soft Comput., 2021

2020

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

Sanjiban Sekhar Roy, Pijush Samui, Ishan Nagtode, Hemant Jain, Vishal Shivaramakrishnan, Behnam Mohammadi-Ivatloo

J. Ambient Intell. Humaniz. Comput., 2020

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

Viet-Ha Nhu, Pijush Samui, Deepak Kumar, Anshuman Singh, Nhat-Duc Hoang, Dieu Tien Bui

Eng. Comput., 2020

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

Deepak Kumar, Roshni Thendiyath, Anshuman Singh, Madan Kumar Jha, Pijush Samui

Earth Sci. Informatics, 2020

2019

Predicting stable alluvial channel profiles using emotional artificial neural networks.

Azadeh Gholami, Hossein Bonakdari, Pijush Samui, Majid Mohammadian, Bahram Gharabaghi

Appl. Soft Comput., 2019

Deep Learning for Brain Computer Interfaces.

Ankita Bose, Sanjiban Sekhar Roy, Valentina Emilia Balas, Pijush Samui

Proceedings of the Handbook of Deep Learning Applications., 2019

2018

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.

Phuong-Thao Thi Ngo, Nhat-Duc Hoang, Biswajeet Pradhan, Quang Khanh Nguyen, Xuan Truong Tran, Quang Minh Nguyen, Viet Nghia Nguyen, Pijush Samui, Dieu Tien Bui

Sensors, 2018

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

Hadi Sanikhani, Ravinesh C. Deo, Pijush Samui, Özgür Kisi, Cihan Mert, Rasoul Mirabbasi, Siavash Gavili, Zaher Mundher Yaseen

Comput. Electron. Agric., 2018

2016

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

Sanjiban Sekhar Roy, Abhishek Sinha, Reetika Roy, Cornel Barna, Pijush Samui

Proceedings of the Soft Computing Applications, 2016

2015

Site Characterization Using GP, MARS and GPR.

Pijush Samui, Yildirim Dalkiliç, J. Jagan

Proceedings of the Handbook of Genetic Programming Applications, 2015

2014

Relevance vector machines approach for long-term flow prediction.

Umut Okkan, Zafer Ali Serbes, Pijush Samui

Neural Comput. Appl., 2014

2013

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

Pijush Samui, Dookie Kim

Neural Comput. Appl., 2013

2012

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

Pijush Samui, Pradeep Kurup

Soft Comput., 2012

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

Pijush Samui, Pradeep Kurup

Int. J. Appl. Metaheuristic Comput., 2012

2011

Site Characterization Model Using Support Vector Machine and Ordinary Kriging.

Pijush Samui, Sarat Kumar Das

J. Intell. Syst., 2011

Utilization relevance vector machine for slope reliability analysis.

Pijush Samui, Tim Lansivaara, Dookie Kim

Appl. Soft Comput., 2011

2009

Application of Soft Computing Techniques to Expansive Soil Characterization.

Pijush Samui, Sarat Kumar Das, T. G. Sitharam

Proceedings of the Intelligent and Soft Computing in Infrastructure Systems Engineering: Recent Advances, 2009

2007

Relevance Vector Machine Classifier Analysis of Slope.

Pijush Samui, Sarat Kumar Das

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

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

Sk. Faruque Ali, Pijush Samui

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007