Prediction of compressive strength of nano-silica concrete by using random forest algorithm

Influence of activator on the strength and drying shrinkage of alkali-activated slag mortar

Cengiz Duran Atiş, Cahit Bilim, Ö. Çelik et al. · Construction and Building Materials · 2007 · 652 citations

Natural Sciences, Materials Engineering, Materials Science +10

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

Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature

Ayaz Ahmad, Krzysztof Adam Ostrowski, Mariusz Maślak et al. · Materials · 2021 · 213 citations · Full text

Computing, Materials Engineering, Materials Science +17

Optimal design of planar RC frames considering CO2 emissions using ECBO, EVPS and PSO metaheuristic algorithms

A. Kaveh, Ramezan Ali Izadifard, L. Mottaghi · Journal of Building Engineering · 2019 · 203 citations

Natural Sciences, Environmental Engineering, Mathematics +14

Design of double layer grids using backpropagation neural networks

A. Kaveh, H. Servati · Computers & Structures · 2001 · 183 citations

Computing, Computational Engineering, Computer Science +7