- Damage detection of truss structures using meta-heuristic algorithms and optimized group method of data handling surrogate model. Dans: Structures, v. 65 (juillet 2024). (2024):
- On the optimization of Tuned Mass Damper Inerter (TMDI) systems for buildings subjected to real ground motions using slime mould algorithm. Dans: Soil Dynamics and Earthquake Engineering, v. 179 (avril 2024). (2024):
- A data-driven approach for scour detection around monopile-supported offshore wind turbines using Naive Bayes classification. Dans: Marine Structures, v. 95 (mai 2024). (2024):
- Feature subset selection in structural health monitoring data using an advanced binary slime mould algorithm. Dans: Journal of Structural Integrity and Maintenance, v. 8, n. 4 (juillet 2023). (2023):
- Dynamic wavelet neural network model for damage features extraction and patterns recognition. Dans: Journal of Civil Structural Health Monitoring, v. 13, n. 4-5 (avril 2023). (2023):
- Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge. Dans: Engineering Structures, v. 279 (mars 2023). (2023):
- Damage detection of plate-like structures using intelligent surrogate model. Dans: Smart Structures and Systems, v. 18, n. 6 (décembre 2016). (2016):
- Selecting optimum levels of wavelet multi‐resolution analysis for time‐varying signals in structural health monitoring. Dans: Structural Control and Health Monitoring, v. 28, n. 8 (4 juillet 2021). (2021):
- Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: A comparative study. Dans: Structural Health Monitoring, v. 21, n. 3 (août 2021). (2021):
- A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function. Dans: Structural Health Monitoring, v. 15, n. 3 (mars 2016). (2016):