Get started
Author

Mohamed El Amine Ben Seghier

Observed names: Ben Seghier, Mohamed El Amine, M. Ben Seghier, M.E.A. Ben Seghier, Mohamed EL Amine Ben Seghier, Mohamed EI Amine Ben Seghier, Mohamed EL Amine Ben Seghier, Mohamed El Amine, Mohamed Seghier, Mohamed el Amine Ben Seghier
Observed institutions: Ton Duc Thang University, Hong Kong Polytechnic University, Universidade do Porto, OsloMet – Oslo Metropolitan University, University of Boumerdes, Van Lang University, Helmholtz-Zentrum Hereon, Qatar University
ORCID: 0000-0002-5854-775X
Observed ORCID: 0000-0002-5854-775X
OpenAlex ID: A5068268080
Investigation of performance metrics in regression analysis and machine learning-based prediction models
2022 · V. Plevris, G. Solorzano, et al. · European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) · 331
PDF
A comprehensive review of corrosion protection and control techniques for metallic pipelines
2022 · Hassan M. Hussein Farh, Mohamed El Amine Ben Seghier, et al. · Engineering Failure Analysis · 299
Prediction of maximum pitting corrosion depth in oil and gas pipelines
2020 · Mohamed El Amine Ben Seghier, Behrooz Keshtegar, et al. · Engineering Failure Analysis · 171
PDF
Prediction of the internal corrosion rate for oil and gas pipeline: Implementation of ensemble learning techniques
2022 · Mohamed El Amine Ben Seghier, Daniel Höche, et al. · Journal of Natural Gas Science and Engineering · 168
Analysis and ranking of corrosion causes for water pipelines: a critical review
2023 · Hassan M. Hussein Farh, Mohamed El Amine Ben Seghier, et al. · npj Clean Water · 167
PDF
Advanced intelligence frameworks for predicting maximum pitting corrosion depth in oil and gas pipelines
2021 · Mohamed El Amine Ben Seghier, Behrooze Keshtegar, et al. · Process Safety and Environmental Protection · 160
Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches
2022 · Shun-Peng Zhu, Behrooz Keshtegar, et al. · Computer Methods in Applied Mechanics and Engineering · 129
Modified response surface method basis harmony search to predict the burst pressure of corroded pipelines
2018 · Behrooz Keshtegar, Mohamed el Amine Ben Seghier · Engineering Failure Analysis · 115
Reliability analysis of low, mid and high-grade strength corroded pipes based on plastic flow theory using adaptive nonlinear conjugate map
2018 · Mohamed El Amine Ben Seghier, Behrooz Keshtegar, et al. · Engineering Failure Analysis · 76
Toward Sustainable Water Infrastructure: The State‐Of‐The‐Art for Modeling the Failure Probability of Water Pipes
2023 · Ridwan Taiwo, Mohamed El Amine Ben Seghier, et al. · Water Resources Research · 71
PDF
Reliability analysis based on hybrid algorithm of M5 model tree and Monte Carlo simulation for corroded pipelines: Case of study X60 Steel grade pipes
2019 · Mohamed El Amine Ben Seghier, Behrooz Keshtegar, et al. · Engineering Failure Analysis · 70
Novel efficient method for structural reliability analysis using hybrid nonlinear conjugate map-based support vector regression
2021 · Behrooz Keshtegar, Mohamed El Amine Ben Seghier, et al. · Computer Methods in Applied Mechanics and Engineering · 68
A hybrid model for predicting the axial compression capacity of square concrete-filled steel tubular columns
2020 · Sy Hung Mai, Mohamed El Amine Ben Seghier, et al. · Engineering With Computers · 65
A hybrid sufficient performance measure approach to improve robustness and efficiency of reliability-based design optimization
2020 · Behrooz Keshtegar, Debiao Meng, et al. · Engineering With Computers · 64
Generative artificial intelligence in construction: A Delphi approach, framework, and case study
2025 · Ridwan Taiwo, Idris Temitope Bello, et al. · Alexandria Engineering Journal · 62
Probabilistic investigation on the reliability assessment of mid- and high-strength pipelines under corrosion and fracture conditions
2020 · Abdelkader Guillal, Mohamed El Amine Ben Seghier, et al. · Engineering Failure Analysis · 61
Modeling viscosity of CO2 at high temperature and pressure conditions
2020 · Menad Nait Amar, Mohammed Abdelfetah Ghriga, et al. · Journal of Natural Gas Science and Engineering · 61
PDF
Efficient method using Whale Optimization Algorithm for reliability-based design optimization of labyrinth spillway
2020 · Jafar Jafari-Asl, Mohamed El Amine Ben Seghier, et al. · Applied Soft Computing · 58
On the modeling of the annual corrosion rate in main cables of suspension bridges using combined soft computing model and a novel nature-inspired algorithm
2021 · Mohamed El Amine Ben Seghier, José A. F. O. Corriea, et al. · Neural Computing and Applications · 56
Hybrid intelligent method for fuzzy reliability analysis of corroded X100 steel pipelines
2020 · Mansour Bagheri, Shun-Peng Zhu, et al. · Engineering With Computers · 55
Hybrid soft computational approaches for modeling the maximum ultimate bond strength between the corroded steel reinforcement and surrounding concrete
2020 · Mohamed El Amine Ben Seghier, Hocine Ouaer, et al. · Neural Computing and Applications · 54
Reliability analysis of corroded pipelines: Novel adaptive conjugate first order reliability method
2019 · Behrooz Keshtegar, Mohamed El Amine Ben Seghier, et al. · Journal of Loss Prevention in the Process Industries · 53
Reliability assessment of subsea pipelines under the effect of spanning load and corrosion degradation
2022 · Mohamed El Amine Ben Seghier, Zahiraniza Mustaffa, et al. · Journal of Natural Gas Science and Engineering · 50
Metaheuristic‐based machine learning modeling of the compressive strength of concrete containing waste glass
2023 · Mohamed El Amine Ben Seghier, Emadaldin Mohammadi Golafshani, et al. · Structural Concrete · 49
PDF
Novel hybridized adaptive neuro‐fuzzy inference system models based particle swarm optimization and genetic algorithms for accurate prediction of stress intensity factor
2020 · Mohamed El Amine Ben Seghier, Hermes Carvalho, et al. · Fatigue & Fracture of Engineering Materials & Structures · 48
Works count: 82
Citation count: 3,470
H-index: 35
I10-index: 55
Year
Topic
Type