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