A comparative study of machine learning models for construction costs prediction with natural gradient boosting algorithm and SHAP analysis

Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer

Emadaldin Mohammadi Golafshani, Ali Behnood, Mehrdad Arashpour · Construction and Building Materials · 2019 · 467 citations

Engineering, Civil Engineering, Materials Engineering +16

A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP)

I.U. Ekanayake, D.P.P. Meddage, Upaka Rathnayake · Case Studies in Construction Materials · 2022 · 464 citations · Full text

Computing, Computer Science, Materials Engineering +17

Efficient training of two ANNs using four meta-heuristic algorithms for predicting the FRP strength

A. Kaveh, Neda Khavaninzadeh · Structures · 2023 · 331 citations

Computing, Computer Science, Artificial Intelligence +11

Prediction of rapid chloride penetration resistance of metakaolin based high strength concrete using light GBM and XGBoost models by incorporating SHAP analysis

Anas Abdulalim Alabdullah, Mudassir Iqbal, Muhammad Zahid et al. · Construction and Building Materials · 2022 · 262 citations

Engineering, Materials Engineering, Materials Science +17

Machine learning regression approaches for predicting the ultimate buckling load of variable-stiffness composite cylinders

A. Kaveh, Armin Dadras Eslamlou, S M Javadi et al. · Acta Mechanica · 2021 · 259 citations

Engineering, Materials Engineering, Mechanical Engineering +16