Zohreh Mousavi 
- : Compound damage detection using wavelet transform and deep neural network trained on healthy and single damage states: Validation on a laboratory-scale offshore jacket model. In: Structural Health Monitoring.
- : A hybrid wavelet-deep learning approach for vibration-based damage detection in monopile offshore structures considering soil interaction. In: Journal of Civil Structural Health Monitoring.
- (2024): Evaluation of empirical and machine learning models for predicting shear wave velocity of granular soils based on laboratory element tests. In: Soil Dynamics and Earthquake Engineering, v. 183 (August 2024).
- (2024): Shear strength enhancement at the sand-steel interface: A pioneering approach with Polyurethane Foam Adhesive (PFA). In: Construction and Building Materials, v. 429 (May 2024).
- (2020): Deep neural networks–based damage detection using vibration signals of finite element model and real intact state: An evaluation via a lab-scale offshore jacket structure. In: Structural Health Monitoring, v. 20, n. 1 (March 2020).
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