Pijush Samui

发表

Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Water Resources Management.

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

Anthony T. C. Goh, Deepak Kumar, Wengang Zhang, 2021, Geoscience Frontiers.

A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility

Nhat-Duc Hoang, Viet-Hung Dang, Dieu Tien Bui, 2020 .

Application of Artificial Intelligence in Geo-Engineering

Pijush Samui, P. Samui, 2019, Information Technology in Geo-Engineering.

Reliability Analysis of Settlement of Pile Group in Clay Using LSSVM, GMDH, GPR

Manish Kumar, Pijush Samui, P. Samui, 2020, Geotechnical and Geological Engineering.

Reliability analysis of settlement of pile group

Wengang Zhang, Manish Kumar, Deepak Kumar, 2020, Innovative Infrastructure Solutions.

Newly explored machine learning model for river flow time series forecasting at Mary River, Australia

Sinan Q. Salih, Zaher Mundher Yaseen, Fang Cui, 2020, Environmental Monitoring and Assessment.

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

Mahdi Hasanipanah, Deepak Kumar, Danial Jahed Armaghani, 2020, Engineering with Computers.

Determination of reliability index of the retaining wall using artificial intelligence techniques

Sanjeev Sinha, Pijush Samui, Pratishtha Mishra, 2020 .

Reliability Analysis of Circular Footing by Using GP and MPMR

Sunita Kumari, Yıldırım Dalkiliç, Pijush Samui, 2021, Int. J. Appl. Metaheuristic Comput..

Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms

Mohammad Ali Ghorbani, Sinan Q. Salih, Zaher Mundher Yaseen, 2020, Water Resources Management.

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

Deepak Kumar, Thendiyath Roshni, Pijush Samui, 2020, Earth Science Informatics.

Genetic-Algorithm-Optimized Sequential Model for Water Temperature Prediction

Bahram Gharabaghi, Hossein Bonakdari, Deepak Kumar, 2020, Sustainability.