Armin Dadras Eslamlou 
- (2023): A review on non-destructive evaluation of construction materials and structures using magnetic sensors. Dans: Construction and Building Materials, v. 397 (septembre 2023).
- (2023): Interpretability Analysis of Convolutional Neural Networks for Crack Detection. Dans: Buildings, v. 13, n. 12 (22 novembre 2023).
- (2022): Artificial-Neural-Network-Based Surrogate Models for Structural Health Monitoring of Civil Structures: A Literature Review. Dans: Buildings, v. 12, n. 12 (1 décembre 2022).
- (2022): Optimal sensor placement in large‐scale dome trusses via Q‐learning‐based water strider algorithm. Dans: Structural Control and Health Monitoring, v. 29, n. 7 (mars 2022).
- (2022): Shear Strength Prediction of FRP-reinforced Concrete Beams Using an Extreme Gradient Boosting Framework. Shear strength prediction of FRP-reinforced concrete beams. Dans: Periodica Polytechnica Civil Engineering, v. 66, n. 1 ( 2022).
- (2021): Damage Detection Using a Graph-based Adaptive Threshold for Modal Strain Energy and Improved Water Strider Algorithm. Dans: Periodica Polytechnica Civil Engineering, v. 65, n. 4 ( 2021).
- (2022): Guided Water Strider Algorithm for Structural Damage Detection Using Incomplete Modal Data. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 46, n. 2 (février 2022).
- (2022): A Multistage Damage Detection Approach Using Graph Theory and Water Strider Algorithm. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 46, n. 1 (21 janvier 2022).
- : Dynamic Water Strider Algorithm for Optimal Design of Skeletal Structures. Dans: Periodica Polytechnica Civil Engineering.
- (2019): An efficient two-stage method for optimal sensor placement using graph-theoretical partitioning and evolutionary algorithms. Dans: Structural Control and Health Monitoring, v. 26, n. 4 (mars 2019).
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