Mojtaba Salkhordeh 
- : A boosted deep learning-based approach for near real-time response estimation of structures under ground motion excitations. In: Structure and Infrastructure Engineering.
- (2023): Damage detection in power transmission towers using machine learning algorithms. In: Structures, v. 56 (October 2023).
- (2023): A Rapid Machine Learning-Based Damage Detection Technique for Detecting Local Damages in Reinforced Concrete Bridges. In: Journal of Earthquake Engineering, v. 27, n. 16 (March 2023).
- (2023): Development of the simplified spring‐based nonlinear models for full‐connection cold‐formed steel‐framed gypsum partition walls. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 5 (May 2023).
- (2023): A rapid machine learning-based damage detection algorithm for identifying the extent of damage in concrete shear-wall buildings. In: Structures, v. 47 (January 2023).
- (2024): A rapid neural network-based demand estimation for generic buildings considering the effect of soft/weak story. In: Structure and Infrastructure Engineering, v. 20, n. 1 (March 2024).
- (2022): Cyclic performance of different mitigation strategies proposed for segmental precast bridge piers. In: Structures, v. 36 (February 2022).
- (2021): A decision‐tree‐based algorithm for identifying the extent of structural damage in braced‐frame buildings. In: Structural Control and Health Monitoring, v. 28, n. 11 (September 2021).
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