[HTML][HTML] Comparative study of genetic programming-based algorithms for predicting the compressive strength of concrete at elevated temperature

A Alaskar, G Alfalah, F Althoey, MA Abuhussain… - Case Studies in …, 2023 - Elsevier
The elevated temperature severely influences the mixed properties of concrete, causing a
decrease in its strength properties. Accurate proportioning of concrete components for …

[HTML][HTML] Soft computing models for prediction of bentonite plastic concrete strength

WB Inqiad, MF Javed, K Onyelowe, MS Siddique… - Scientific Reports, 2024 - nature.com
Bentonite plastic concrete (BPC) is extensively used in the construction of water-tight
structures like cut-off walls in dams, etc., because it offers high plasticity, improved …

[HTML][HTML] Predicting 28-day compressive strength of fibre-reinforced self-compacting concrete (FR-SCC) using MEP and GEP

WB Inqiad, MS Siddique, M Ali, T Najeh - Scientific Reports, 2024 - nature.com
The utilization of Self-compacting Concrete (SCC) has escalated worldwide due to its
superior properties in comparison to normal concrete such as compaction without vibration …

A comparative analysis of boosting and genetic programming techniques for predicting mechanical properties of soilcrete materials

WB Inqiad, MF Javed, MS Siddique, SS Alarifi… - Materials Today …, 2024 - Elsevier
This study aims to predict compressive strength (CS) and modulus of elasticity (E) of
soilcrete mixes to foster their widespread use in the industry. Soilcfigrete has the potential to …

Comparison of boosting and genetic programming techniques for prediction of tensile strain capacity of Engineered Cementitious Composites (ECC)

WB Inqiad, MF Javed, MS Siddique, NM Khan… - Materials Today …, 2024 - Elsevier
Plain concrete is weak against tension and has low Tensile Strain Capacity (TSC) which
significantly affects its long-term performance. To overcome this issue, Engineered …

Predicting solubility of nitrous oxide in ionic liquids using machine learning techniques and gene expression programming

MN Amar, MA Ghriga, MEAB Seghier… - Journal of the Taiwan …, 2021 - Elsevier
Abstract Background-Nitrous oxide (N 2 O), as a potent greenhouse gas, is increasingly
becoming a major multidisciplinary concern in recent years. Therefore, the removal of N 2 O …

[HTML][HTML] Application of gene expression programming (GEP) in modeling hydrocarbon recovery in WAG injection process

S Afzali, M Mohamadi-Baghmolaei, S Zendehboudi - Energies, 2021 - mdpi.com
Water alternating gas (WAG) injection has been successfully applied as a tertiary recovery
technique. Forecasting WAG flooding performance using fast and robust models is of great …

Machine learning approach to predict the surface charge density of monodispersed particles in gas–solid fluidized beds

J Lu, C Duan, Y Zhao - ACS omega, 2022 - ACS Publications
Gas–solid fluidized beds are complex particle systems, and the electrostatic behavior of
particles in fluidized beds is even more complex, which is influenced by numerous factors …

Predicting natural vibration period of concrete frame structures having masonry infill using machine learning techniques.

WB Inqiad, MF Javed, MS Siddique… - Journal of Building …, 2024 - Elsevier
The natural period of vibration is one of the most significant factors used in the seismic
design of buildings. Although the building design codes and previous studies provide some …

Application of gene expression programming for predicting density of binary and ternary mixtures of ionic liquids and molecular solvents

MN Amar, MA Ghriga… - Journal of the Taiwan …, 2020 - Elsevier
Abstract Ionic Liquids (ILs) have received increased attention across a number of disciplines
in recent years. This noticeable importance of ILs is attributed to their attractive proprieties …