23 results on '"Ghiasi, Ramin"'
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2. An unsupervised anomaly detection framework for onboard monitoring of railway track geometrical defects using one-class support vector machine
3. A data-driven approach for scour detection around monopile-supported offshore wind turbines using Naive Bayes classification
4. Dynamic wavelet neural network model for damage features extraction and patterns recognition
5. On the optimization of Tuned Mass Damper Inerter (TMDI) systems for buildings subjected to real ground motions using slime mould algorithm
6. From model-driven to data-driven: A review of hysteresis modeling in structural and mechanical systems
7. Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge
8. Comparative studies of metamodeling and AI-Based techniques in damage detection of structures
9. Feature subset selection in structural health monitoring data using an advanced binary slime mould algorithm.
10. Role of Renewable Energy Sources in Evaluating Technical and Economic Efficiency of Power Quality
11. A three-stage damage detection method for large-scale space structures using forward substructuring approach and enhanced bat optimization algorithm
12. Indirect Monitoring of Frequencies of a Multiple Span Bridge Using Data Collected from an Instrumented Train: A Field Case Study.
13. Probabilistic Seismic Response Prediction of Three-Dimensional Structures Based on Bayesian Convolutional Neural Network.
14. Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: A comparative study.
15. Structural Assessment under Uncertain Parameters via the Interval Optimization Method Using the Slime Mold Algorithm.
16. A Novel MRE Adaptive Seismic Isolator Using Curvelet Transform Identification.
17. Parameter identification and dynamic response analysis of a modified Prandtl–Ishlinskii asymmetric hysteresis model via least-mean square algorithm and particle swarm optimization.
18. Selecting optimum levels of wavelet multi‐resolution analysis for time‐varying signals in structural health monitoring.
19. Deep Learning-Based Crack Identification for Steel Pipelines by Extracting Features from 3D Shadow Modeling.
20. Uncertainty Handling in Structural Damage Detection via Non-Probabilistic Meta-Models and Interval Mathematics, a Data-Analytics Approach.
21. Deep Learning-Based Damage, Load and Support Identification for a Composite Pipeline by Extracting Modal Macro Strains from Dynamic Excitations.
22. Optimization-based method for structural damage detection with consideration of uncertainties-a comparative study.
23. A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function.
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