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Computer Science

D-Index
49
Citations
7908
World Ranking
5966
National Ranking
58

Overview

Pijush Samui is affiliated with the National Institute of Technology Patna in India. Their research primarily spans the fields of engineering and environmental science, with a strong focus on civil and structural engineering, safety, risk, reliability and quality, as well as environmental engineering. Their body of work demonstrates a sustained interest in geotechnical engineering and analysis, dam engineering and safety, along with landslides and related hazards.

The scientist's research themes include:

  • Geotechnical Engineering and Analysis
  • Dam Engineering and Safety
  • Geotechnical Engineering and Underground Structures
  • Landslides and related hazards
  • Geotechnical Engineering and Soil Mechanics
  • Rock Mechanics and Modeling
  • Infrastructure Maintenance and Monitoring

Pijush Samui has published extensively, with notable presence in key journals such as the International Journal of Advanced Intelligence Paradigms, Modeling Earth Systems and Environment, Arabian Journal of Geosciences, Geotechnical and Geological Engineering, and Frontiers of Structural and Civil Engineering.

Frequent publication venues include:

  • International Journal of Advanced Intelligence Paradigms
  • Modeling Earth Systems and Environment
  • Arabian Journal of Geosciences
  • Geotechnical and Geological Engineering
  • Frontiers of Structural and Civil Engineering

Co-authors frequently collaborating with Pijush Samui encompass Abidhan Bardhan, Divesh Ranjan Kumar, Avijit Burman, Danial Jahed Armaghani, and Deepak Kumar.

Frequent co-authors are:

  • Abidhan Bardhan
  • Divesh Ranjan Kumar
  • Avijit Burman
  • Danial Jahed Armaghani
  • Deepak Kumar

Their recent papers include the following:

  • "Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area" (2020, CATENA)
  • "A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil" (2021, Engineering With Computers)
  • "Application of soft computing techniques for shallow foundation reliability in geotechnical engineering" (2020, Geoscience Frontiers)
  • "Efficient computational techniques for predicting the California bearing ratio of soil in soaked conditions" (2021, Engineering Geology)
  • "Closed-Form Equation for Estimating Unconfined Compressive Strength of Granite from Three Non-destructive Tests Using Soft Computing Models" (2022, Rock Mechanics and Rock Engineering)

Pijush Samui has contributed to academic literature through book publications associated with publishers such as Springer International Publishing and the University of Southern Queensland. Titles include Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation published in 2020 and Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation published in 2021.

Best Publications

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

    Panagiotis G. Asteris;Athanasia D. Skentou;Abidhan Bardhan;Pijush Samui

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

    Dieu Tien Bui;Nhat-Duc Hoang;Francisco Martínez-Álvarez;Phuong-Thao Thi Ngo

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

    Dieu Tien Bui;Phuong-Thao Thi Ngo;Tien Dat Pham;Abolfazl Jaafari

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

    Pijush Samui

  • Slope stability analysis: a support vector machine approach

    Pijush Samui

  • Machine learning modelling for predicting soil liquefaction susceptibility

    P. Samui;T. G. Sitharam

  • Assessment of pile drivability using random forest regression and multivariate adaptive regression splines

    Wengang Zhang;Chongzhi Wu;Yongqin Li;Lin Wang

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

    Sarat Kumar Das;Pijush Samui;Akshaya K. Sabat

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

    P. Samui;D.P. Kothari

  • 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;Biswajeet Pradhan;Quang Khanh Nguyen

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

    Viet-Ha Nhu;Nhat-Duc Hoang;Hieu Nguyen;Phuong Thao Thi Ngo

  • Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models

    Ravinesh C. Deo;Pijush Samui;Dookie Kim

  • Forecasting monthly precipitation using sequential modelling

    Deepak Kumar;Anshuman Singh;Pijush Samui;Rishi Kumar Jha

  • 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

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

    Sanjiban Sekhar Roy;Pijush Samui;Ishan Nagtode;Hemant Jain

  • Compressive strength prediction of high-performance concrete using gradient tree boosting machine

    Mosbeh R. Kaloop;Mosbeh R. Kaloop;Deepak Kumar;Pijush Samui;Jong Wan Hu

  • 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).

    Dieu Tien Bui;Dieu Tien Bui;Nhat-Duc Hoang;Pijush Samui

  • Application of soft computing techniques for shallow foundation reliability in geotechnical engineering

    Rahul Ray;Deepak Kumar;Pijush Samui;Lal Bahadur Roy

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

    Bhairevi Ganesh Aiyer;Dookie Kim;Nithin Karingattikkal;Pijush Samui

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

    Pijush Samui;Barnali M. Dixon

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

    Abidhan Bardhan;Candan Gokceoglu;Avijit Burman;Pijush Samui

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

    Navid Kardani;Abidhan Bardhan;Dookie Kim;Pijush Samui

Frequent Co-Authors

T. G. Sitharam
T. G. Sitharam Indian Institute of Technology Guwahati
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Nhat-Duc Hoang
Nhat-Duc Hoang Duy Tan University
Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Hossein Bonakdari
Hossein Bonakdari University of Ottawa
Annan Zhou
Annan Zhou RMIT University
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Wengang Zhang
Wengang Zhang Chongqing University
Isa Ebtehaj
Isa Ebtehaj Université Laval
Danial Jahed Armaghani
Danial Jahed Armaghani University of Technology Sydney

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