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