Vagelis Plevris 
- (2023): Application of machine learning approaches for modelling crack growth rates. In: ce/papers, v. 6, n. 3-4 (September 2023).
- (2023): OpenSeismoMatlab: New Features, Verification and Charting Future Endeavors. In: Buildings, v. 14, n. 1 (31 December 2023).
- (2024): Computing the characteristics of defects in wooden structures using image processing and CNN. In: Automation in Construction, v. 158 (February 2024).
- (2024): Explainable machine learning-aided efficient prediction model and software tool for bond strength of concrete with corroded reinforcement. In: Structures, v. 59 (January 2024).
- (2023): Classification of defects in wooden structures using pre-trained models of convolutional neural network. In: Case Studies in Construction Materials, v. 19 (December 2023).
- (2023): Minimum design bending moment for systems of equivalent stiffness. In: Structures, v. 57 (November 2023).
- (2023): Performance-based seismic assessment of a historical masonry arch bridge: Effect of pulse-like excitations. In: Frontiers of Structural and Civil Engineering, v. 17, n. 6 (June 2023).
- (2023): An Open-Source Framework for Modeling RC Shear Walls Using Deep Neural Networks. In: Advances in Civil Engineering, v. 2023 (February 2023).
- (2023): Computational methods applied to earthen historical structures. In: Frontiers in Built Environment, v. 9 (February 2023).
- (2023): Bridge management through digital twin-based anomaly detection systems: A systematic review. In: Frontiers in Built Environment, v. 9 (February 2023).
- (2023): Kahramanmaraş—Gaziantep, Türkiye Mw 7.8 Earthquake on 6 February 2023: Strong Ground Motion and Building Response Estimations. In: Buildings, v. 13, n. 5 (27 April 2023).
- (2023): Seismic response modification, over-strength, and displacement amplification factors of steel special truss moment frames. In: Asian Journal of Civil Engineering, v. 24, n. 7 (April 2023).
- (2022): Computational intelligence methods in simulation and modeling of structures: A state-of-the-art review using bibliometric maps. In: Frontiers in Built Environment, v. 8 (February 2022).
- (2022): Predicting Crack Width in CFRP-Strengthened RC One-Way Slabs Using Hybrid Grey Wolf Optimizer Neural Network Model. In: Buildings, v. 12, n. 11 (27 October 2022).
- (2022): Random forest-based algorithms for accurate evaluation of ultimate bending capacity of steel tubes. In: Structures, v. 44 (October 2022).
- (2022): Blockchain in Civil Engineering, Architecture and Construction Industry: State of the Art, Evolution, Challenges and Opportunities. In: Frontiers in Built Environment, v. 8 (February 2022).
- (2022): Artificial Intelligence-Powered Methodologies and Applications in Earthquake and Structural Engineering. In: Frontiers in Built Environment, v. 8 (February 2022).
- (2022): An alternative approach for measuring the mechanical properties of hybrid concrete through image processing and machine learning. In: Construction and Building Materials, v. 328 (April 2022).
- (2021): Prediction of seismic damage spectra using computational intelligence methods. In: Computers & Structures, v. 253 (September 2021).
- (2020): A Comparative Study of Differential Evolution Variants in Constrained Structural Optimization. In: Frontiers in Built Environment, v. 6 (January 2020).
- (2020): Optimum Design of RC Footings with Genetic Algorithms According to ACI 318-19. In: Buildings, v. 10, n. 6 (26 May 2020).
- (2020): Innovative Approaches in Computational Structural Engineering. In: Frontiers in Built Environment, v. 6 (January 2020).
- (2011): A Hybrid Particle Swarm-Gradient Algorithm for Global Structural Optimization. In: Computer-Aided Civil and Infrastructure Engineering, v. 26, n. 1 ( 2011).
- (2019): Computational Structural Engineering: Past Achievements and Future Challenges. In: Frontiers in Built Environment, v. 4 (February 2019).
- (2018): A New Energy-Based Structural Design Optimization Concept under Seismic Actions. In: Frontiers in Built Environment, v. 3 (February 2018).
- (2001): Optimum Design of Space Frames Under Seismic Loading. In: International Journal of Structural Stability and Dynamics, v. 1, n. 1 (March 2001).
- (2014): Modeling of masonry failure surface under biaxial compressive stress using Neural Networks. In: Construction and Building Materials, v. 55 (March 2014).
- (2016): A generalized algorithm framework for non-linear structural dynamics. In: Bulletin of Earthquake Engineering, v. 15, n. 1 (July 2016).
- (2018): A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data. In: Advances in Civil Engineering, v. 2018 ( 2018).
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