Redouane Rebouh
- Predicting the compressive strength of CFRP-confined concrete using deep learning. In: Engineering Structures, v. 319 (November 2024). (2024):
- Predicting the shear strength of rectangular RC beams strengthened with externally-bonded FRP composites using constrained monotonic neural networks. In: Engineering Structures, v. 313 (August 2024). (2024):
- Neural network model for predicting the carbonation depth of slag concrete. In: Asian Journal of Civil Engineering, v. 22, n. 7 (September 2021). (2021):
- An intelligent hybrid system for predicting the tortuosity of the pore system of fly ash concrete. In: Construction and Building Materials, v. 205 (April 2019). (2019):
- A practical hybrid NNGA system for predicting the compressive strength of concrete containing natural pozzolan using an evolutionary structure. In: Construction and Building Materials, v. 149 (September 2017). (2017):