233 results on '"Quqa, Said"'
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2. Impact of Decision Scenarios on the Value of Seismic Structural Health Monitoring
3. Bridge Monitoring Using Vehicle-Induced Vibration
4. Structure-type classification and flexibility-based detection of earthquake-induced damage in full-scale RC buildings
5. Integrating flexibility-based curvature with quasi-static features induced by traffic loads for high-resolution damage localization in bridges
6. The value of monitoring a structural health monitoring system
7. The value of seismic structural health monitoring for post-earthquake building evacuation
8. Two-step approach for fatigue crack detection in steel bridges using convolutional neural networks
9. Impact of Decision Scenarios on the Value of Seismic Structural Health Monitoring
10. Bridge Monitoring Using Vehicle-Induced Vibration
11. Shared micromobility-driven modal identification of urban bridges
12. Data Reduction Strategies
13. Vibration Response-Based Damage Detection
14. Damage Detection Through Modal Flexibility-Based Deflections: Application to a Full-Scale RC Shear Wall Building
15. A Novel Time-Frequency Distribution for Real-Time Monitoring of Civil Infrastructures
16. Automatic identification of dense damage-sensitive features in civil infrastructure using sparse sensor networks
17. Modal assurance distribution of multivariate signals for modal identification of time-varying dynamic systems
18. Instantaneous modal identification under varying structural characteristics: A decentralized algorithm
19. Calibration of Equivalent Viscous Damping Expressions for Displacement-Based Design and Application to RC Frames.
20. Data Reduction Strategies
21. Vibration Response-Based Damage Detection
22. Damage index based on the strain‐to‐displacement relation for health monitoring of railway bridges.
23. Crack identification using smart paint and machine learning.
24. Crack identification using electrical impedance tomography and transfer learning.
25. An approach to define the minimum detectable damage and the alarm thresholds in vibration-based SHM systems.
26. Crack identification using smart paint and machine learning
27. Value of information analysis accounting for data quality
28. Damage Localization in a Steel Truss Bridge Using Influence Lines Identified from Vehicle-Induced Acceleration
29. Damage Detection in Nonlinear Elastic Structures Using Individual Sensors
30. Exploiting the environment for structural health monitoring: Strategies, algorithms, and technologies
31. Phase Change Memories in Smart Sensing Solutions for Structural Health Monitoring
32. Pressure Mapping Using Nanocomposite-Enhanced Foam and Machine Learning
33. A method to assess the value of monitoring an SHM system
34. A semi-supervised interpretable machine learning framework for sensor fault detection
35. Instantaneous identification of densely instrumented structures using line topology sensor networks
36. Two-step approach for fatigue crack detection in steel bridges using convolutional neural networks
37. Seismic structural health monitoring using the modal assurance distribution
38. Statistical Approach for Vibration-Based Damage Localization in Civil Infrastructures Using Smart Sensor Networks
39. Instantaneous identification of densely instrumented structures using line topology sensor networks.
40. INVESTIGATION ON DAMAGE SENSITIVE FEATURES FOR OPTIMAL SENSOR NETWORKS BASED ON REAL-SCALE RECORDINGS
41. REAL TIME DAMAGE DETECTION THROUGH SINGLE LOW-COST SMART SENSOR
42. On the Use of Singular Vectors for the Flexibility-Based Damage Detection under the Assumption of Unknown Structural Masses
43. Value of information analysis accounting for data quality.
44. Value of information analysis accounting for data quality
45. Finite Element Modeling of Thin-Walled Steel Structural Members from 3D Point Clouds
46. Multiclass Damage Detection for Autonomous Post-disaster Reconnaissance Using Quantum Convolutional Neural Network
47. A Textile Embedded with Distributed Fiber Optic Sensors for Pedestrian Bridge Monitoring
48. Transmissibility Functions-Based Structural Damage Assessment with the Use of Explainable Convolutional Neural Networks
49. Physics-Based and Machine-Learning Models for Braking Impact Factors
50. FE Model Updating of Cable-Stayed Bridges Based on the Experimental Estimate of Cable Forces and Modal Parameters
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