Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions

R Kumar, E Althaqafi, SGK Patro, V Simic… - Applied Soft …, 2024 - Elsevier
This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …

Predictive modelling for the acid resistance of cement-based composites modified with eggshell and glass waste for sustainable and resilient building materials

Z Chen, MN Amin, B Iftikhar, W Ahmad… - Journal of Building …, 2023 - Elsevier
The increasing demand for cement-based composites (CBCs) due to the advancement of
infrastructure causes the exhaustion of natural materials and environmental pollution. Also …

[HTML][HTML] Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder

MN Amin, W Ahmad, K Khan, MN Al-Hashem… - Case Studies in …, 2023 - Elsevier
Sustainable development might be promoted if waste eggshells are used in cement-based
materials (CBMs) by decreasing waste disposal problems, CO 2 emissions, and material …

[HTML][HTML] Investigating the feasibility of using waste eggshells in cement-based materials for sustainable construction

K Khan, W Ahmad, MN Amin, AF Deifalla - Journal of Materials Research …, 2023 - Elsevier
To investigate the effect of eggshell powder on the water-absorption capacity of cement
mortar, this research employed experimental testing followed by machine learning (ML) …

[HTML][HTML] Optimizing compressive strength prediction models for rice husk ash concrete with evolutionary machine intelligence techniques

MN Amin, W Ahmad, K Khan, AF Deifalla - Case Studies in Construction …, 2023 - Elsevier
This research intended to increase the understanding of using modern machine intelligence
techniques, including multi-expression programming (MEP) and gene expression …

[HTML][HTML] Evaluating the relevance of eggshell and glass powder for cement-based materials using machine learning and SHapley Additive exPlanations (SHAP) …

MN Amin, W Ahmad, K Khan, S Nazar… - Case Studies in …, 2023 - Elsevier
This study used machine learning methods to predict the water absorption (WA) of cement-
based material (CBM) containing eggshell and glass powder as sand and cement …

Sustainable strategy of eggshell waste usage in cementitious composites: An integral testing and computational study for compressive behavior in aggressive …

N Wang, Z **a, MN Amin, W Ahmad, K Khan… - … and Building Materials, 2023 - Elsevier
The effectiveness of cementitious composites in an aggressive environment is the primary
issue since their performance deteriorates when exposed to harmful elements. Also, to …

A soft-computing-based modeling approach for predicting acid resistance of waste-derived cementitious composites

Q Cao, X Yuan, MN Amin, W Ahmad, F Althoey… - … and Building Materials, 2023 - Elsevier
This research aimed to build estimation models for the compressive strength (CS) of cement
mortar containing eggshell and glass powder after the acid attack using machine learning …

Strength reduction due to acid attack in cement mortar containing waste eggshell and glass: A machine learning-based modeling study

F Zhu, X Wu, Y Lu, J Huang - Buildings, 2024 - mdpi.com
The present study utilized machine learning (ML) techniques to investigate the effects of
eggshell powder (ESP) and recycled glass powder (RGP) on cement composites subjected …

Evaluating the effectiveness of waste glass powder for the compressive strength improvement of cement mortar using experimental and machine learning methods

K Khan, W Ahmad, MN Amin, MI Rafiq, AMA Arab… - Heliyon, 2023 - cell.com
This study utilized both experimental testing and machine learning (ML) strategies to assess
the effectiveness of waste glass powder (WGP) on the compressive strength (CS) of cement …