Fadel Yessoufou
- : Composite encoder–decoder network for rapid bridge damage assessment using long-term monitoring acceleration data. In: Structural Health Monitoring.
- (2023): Classification and regression-based convolutional neural network and long short-term memory configuration for bridge damage identification using long-term monitoring vibration data. In: Structural Health Monitoring, v. 22, n. 6 (April 2023).
- (2023): Deep autoencoder model for direct monitoring of bridges subjected to a moving vehicle load under varying temperature conditions. In: Structures, v. 52 (June 2023).
- (2022): One-Class Convolutional Neural Network (OC-CNN) Model for Rapid Bridge Damage Detection Using Bridge Response Data. In: KSCE Journal of Civil Engineering, v. 27, n. 4 (August 2022).
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