Pijush Samui

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 24

Top Topics

Thermal Conductivity

Relevance Vector Machines

Reliability Analysis

Top Venues

Int. J. Adv. Intell. Paradigms

Earth Sci. Informatics

Appl. Soft Comput.

Publications

Sanjiban Sekhar Roy, Akash Roy, Pijush Samui, Mostafa Gandomi, Amir H. Gandomi
Hateful Sentiment Detection in Real-Time Tweets: An LSTM-Based Comparative Approach. IEEE Trans. Comput. Soc. Syst. 11 (4) (2024)
Biao He, Danial Jahed Armaghani, Sai Hin Lai, Pijush Samui, Edy Tonnizam Mohamad
Applying data augmentation technique on blast-induced overbreak prediction: Resolving the problem of data shortage and data imbalance. Expert Syst. Appl. 237 (Part C) (2024)
Divesh Ranjan Kumar, Warit Wipulanusat, Manish Kumar, Suraparb Keawsawasvong, Pijush Samui
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. 21 (2024)
Abolfazl Baghbani, Roohollah Shirani Faradonbeh, Yi Lu, Amin Soltani, Katayoon Kiany, Hasan Baghbani, Hossam Abuel-Naga, Pijush Samui
Enhancing earth dam slope stability prediction with integrated AI and statistical models. Appl. Soft Comput. 164 (2024)
Pijush Samui, Sefa Nur Yesilyurt, Huseyin Yildirim Dalkilic, Zaher Mundher Yaseen, Sanjiban Sekhar Roy, Sanjay Kumar
Comparison of different optimized machine learning algorithms for daily river flow forecasting. Earth Sci. Informatics 16 (1) (2023)
Pijush Samui, Aditi Palsapure, Sanjiban Sekhar Roy
Reliability analysis of shallow foundation based on settlement criteria. Int. J. Adv. Intell. Paradigms 24 (3/4) (2023)
Divesh Ranjan Kumar, Pijush Samui, Avijit Burman, Warit Wipulanusat, Suraparb Keawsawasvong
Liquefaction susceptibility using machine learning based on SPT data. Intell. Syst. Appl. 20 (2023)
Divesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat, Suraparb Keawsawasvong, Kongtawan Sangjinda, Wittaya Jitchaijaroen
Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses. Earth Sci. Informatics 16 (4) (2023)
Xingsi Xue, Celestine Makota, Osamah Ibrahim Khalaf, Jagan Jayabalan, Pijush Samui, Ghaida Muttashar Abdulsahib
Machine Learning Approach for Prediction of Lateral Confinement Coefficient of CFRP-Wrapped RC Columns. Symmetry 15 (2) (2023)
Sujeet K. Umar, Sunita Kumari, Pijush Samui, Deepak Kumar
A Liquefaction Study Using ENN, CA, and Biogeography Optimized-Based ANFIS Technique. Int. J. Appl. Metaheuristic Comput. 13 (1) (2022)
Navid Kardani, Abidhan Bardhan, Pijush Samui, Majidreza Nazem, Annan Zhou, Danial Jahed Armaghani
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. 38 (4) (2022)
Navid Kardani, Abidhan Bardhan, Bishwajit Roy, Pijush Samui, Majidreza Nazem, Danial Jahed Armaghani, Annan Zhou
A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates. Eng. Comput. 38 (5) (2022)
Sanjiban Sekhar Roy, Pijush Samui
Predicting longitudinal dispersion coefficient in natural streams using minimax probability machine regression and multivariate adaptive regression spline. Int. J. Adv. Intell. Paradigms 19 (2) (2021)
Rahul Kumar, Pijush Samui, Sunita Kumari, Yildirim Dalkiliç
Reliability Analysis of Circular Footing by Using GP and MPMR. Int. J. Appl. Metaheuristic Comput. 12 (1) (2021)
Rahul Kumar, Pijush Samui, Sunita Kumari, Sanjiban Sekhar Roy
Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS. Int. J. Adv. Intell. Paradigms 18 (3) (2021)
Danial Jahed Armaghani, Deepak Kumar, Pijush Samui, Mahdi Hasanipanah, Bishwajit Roy
A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine. Eng. Comput. 37 (4) (2021)
Abidhan Bardhan, Pijush Samui, Kuntal Ghosh, Amir H. Gandomi, Siddhartha Bhattacharyya
ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions. Appl. Soft Comput. 110 (2021)
Deepak Kumar, Thendiyath Roshni, Anshuman Singh, Madan Kumar Jha, Pijush Samui
Predicting groundwater depth fluctuations using deep learning, extreme learning machine and Gaussian process: a comparative study. Earth Sci. Informatics 13 (4) (2020)
Sanjiban Sekhar Roy, Pijush Samui, Ishan Nagtode, Hemant Jain, Vishal Shivaramakrishnan, Behnam Mohammadi-Ivatloo
Forecasting heating and cooling loads of buildings: a comparative performance analysis. J. Ambient Intell. Humaniz. Comput. 11 (3) (2020)
Viet-Ha Nhu, Pijush Samui, Deepak Kumar, Anshuman Singh, Nhat-Duc Hoang, Dieu Tien Bui
Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study. Eng. Comput. 36 (4) (2020)
Azadeh Gholami, Hossein Bonakdari, Pijush Samui, Majid Mohammadian, Bahram Gharabaghi
Predicting stable alluvial channel profiles using emotional artificial neural networks. Appl. Soft Comput. 78 (2019)
Hadi Sanikhani, Ravinesh C. Deo, Pijush Samui, Özgür Kisi, Cihan Mert, Rasoul Mirabbasi, Siavash Gavili, Zaher Mundher Yaseen
Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors. Comput. Electron. Agric. 152 (2018)
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
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 18 (11) (2018)
Sanjiban Sekhar Roy, Abhishek Sinha, Reetika Roy, Cornel Barna, Pijush Samui
Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network. SOFA (2) (2016)
Umut Okkan, Zafer Ali Serbes, Pijush Samui
Relevance vector machines approach for long-term flow prediction. Neural Comput. Appl. 25 (6) (2014)
Pijush Samui, Dookie Kim
Least square support vector machine and multivariate adaptive regression spline for modeling lateral load capacity of piles. Neural Comput. Appl. 23 (3-4) (2013)
Pijush Samui, Pradeep Kurup
Multivariate Adaptive Regression Spline and Least Square Support Vector Machine for Prediction of Undrained Shear Strength of Clay. Int. J. Appl. Metaheuristic Comput. 3 (2) (2012)
Pijush Samui, Pradeep Kurup
Multivariate adaptive regression spline (MARS) and least squares support vector machine (LSSVM) for OCR prediction. Soft Comput. 16 (8) (2012)
Pijush Samui, Tim Lansivaara, Dookie Kim
Utilization relevance vector machine for slope reliability analysis. Appl. Soft Comput. 11 (5) (2011)
Pijush Samui, Sarat Kumar Das
Site Characterization Model Using Support Vector Machine and Ordinary Kriging. J. Intell. Syst. 20 (3) (2011)
Sk. Faruque Ali, Pijush Samui
Confinement Efficiency of R C Columns with Rectangular Ties: A SVM Approach. IICAI (2007)
Pijush Samui, Sarat Kumar Das
Relevance Vector Machine Classifier Analysis of Slope. IICAI (2007)