Fadel Yessoufou
- (2024): Composite encoder–decoder network for rapid bridge damage assessment using long-term monitoring acceleration data. Dans: Structural Health Monitoring, v. 23, n. 6 (février 2024).
- (2023): Classification and regression-based convolutional neural network and long short-term memory configuration for bridge damage identification using long-term monitoring vibration data. Dans: Structural Health Monitoring, v. 22, n. 6 (avril 2023).
- (2023): Deep autoencoder model for direct monitoring of bridges subjected to a moving vehicle load under varying temperature conditions. Dans: Structures, v. 52 (juin 2023).
- (2022): One-Class Convolutional Neural Network (OC-CNN) Model for Rapid Bridge Damage Detection Using Bridge Response Data. Dans: KSCE Journal of Civil Engineering, v. 27, n. 4 (août 2022).
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