[HTML][HTML] Data-driven evolutionary programming for evaluating the mechanical properties of concrete containing plastic waste.

U Asif, MF Javed, F Aslam, DS Abd Elminaam - Case Studies in …, 2024 - Elsevier
Plastic waste (PW) has emerged as a global environmental concern due to its detrimental
impact on ecosystems and human health. Traditional concrete heavily relies on natural …

Comparative analysis of various machine learning algorithms to predict strength properties of sustainable green concrete containing waste foundry sand

MF Javed, M Khan, M Fawad, H Alabduljabbar… - Scientific Reports, 2024 - nature.com
The use of waste foundry sand (WFS) in concrete production has gained attention as an eco-
friendly approach to waste reduction and enhancing cementitious materials. However …

[HTML][HTML] Metaheuristic optimization algorithms-based prediction modeling for titanium dioxide-Assisted photocatalytic degradation of air contaminants

MF Javed, B Siddiq, K Onyelowe, WA Khan… - Results in Engineering, 2024 - Elsevier
Airborne contaminants pose significant environmental and health challenges. Titanium
dioxide (TiO 2) has emerged as a leading photocatalyst in the degradation of air …

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] Buckling of a sandwich beam with carbon nano rod reinforced composite and porous core under axially variable forces by considering general strain

F Bargozini, M Mohammadimehr, EA Dawi… - Results in …, 2024 - Elsevier
Scientists have explored alternative reinforcements to improve the mechanical properties of
composite structures in recent years due to the high financial and environmental costs …

[HTML][HTML] An explainable machine learning approach to predict the compressive strength of graphene oxide-based concrete

DPP Meddage, I Fonseka, D Mohotti… - … and Building Materials, 2024 - Elsevier
Graphene oxide (GO) has shown promise in improving concrete strength. Despite its
frequent use in cement composites, its effect on concrete properties is less explored. The …

Machine Learning-Driven Multidomain Nanomaterial Design: From Bibliometric Analysis to Applications

H Wang, H Cao, L Yang - ACS Applied Nano Materials, 2024 - ACS Publications
Machine learning (ML), as an advanced data analysis tool, simulates the learning process of
the human brain, enabling the extraction of features, discovery of patterns, and making …

Indirect prediction of graphene nanoplatelets-reinforced cementitious composites compressive strength by using machine learning approaches

M Fawad, H Alabduljabbar, F Farooq, T Najeh… - Scientific Reports, 2024 - nature.com
Graphene nanoplatelets (GrNs) emerge as promising conductive fillers to significantly
enhance the electrical conductivity and strength of cementitious composites, contributing to …

[HTML][HTML] Machine learning approach to predict the mechanical properties of cementitious materials containing carbon nanotubes

NM Okasha, M Mirrashid, H Naderpour… - Developments in the …, 2024 - Elsevier
This research explores the use of machine learning to predict the mechanical properties of
cementitious materials enhanced with carbon nanotubes (CNTs). Specifically, the study …

Optimized prediction modeling of micropollutant removal efficiency in forward osmosis membrane systems using explainable machine learning algorithms

A Aldrees, MF Javed, M Khan, B Siddiq - Journal of Water Process …, 2024 - Elsevier
This study investigated the feasibility of using machine learning (ML)-based models to
simulate the behavior of micropollutants (MPs) in the forward osmosis (FO) membrane water …