Open Access
| Issue |
E3S Web Conf.
Volume 586, 2024
2024 The International Conference on Structural and Civil Engineering (ICSCE 2024)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 7 | |
| Section | Structural Health Monitoring and Structural Mechanics | |
| DOI | https://doi.org/10.1051/e3sconf/202458602002 | |
| Published online | 06 November 2024 | |
- D. Meng, S. Hu, M. Yang, R. Hu, and X. He, “Experimental evaluation of the seismic isolation effectiveness of friction pendulum bearings in bridges considering transverse poundings,” Soil Dynamics and Earthquake Engineering, vol. 170, p. 107926, Jul. 2023, doi: 10.1016/j.soildyn.2023.107926. [CrossRef] [Google Scholar]
- K. Lakshmi, “Detection and quantification of damage in bridges using a hybrid algorithm with spatial filters under environmental and operational variability,” Structures, vol. 32, pp. 617–631, Aug. 2021, doi: 10.1016/J.ISTRUC.2021.03.031. [CrossRef] [Google Scholar]
- S. Jinduja y V. Narayani, “A survey on data integration in distributed web information system using machine learning techniques,” EPRA International Journal of Multidisciplinary Research, 2022. [Google Scholar]
- A. Müller, L. Christmann, S. Kohler, R. Eils y F. Prasser, “Machine Learning for Medical Data Integration,” Medical Informatics Europe, 2023. [Google Scholar]
- R. Delgadillo Ayala and J. Casas Rius, “Damage identification in a benchmark bridge under a moving load using Hilbert-Huang Transform of transient vibrations,” Porto, Jun. 2021, pp. 545–552. [Google Scholar]
- Z. D. Li, W. Y. He, W. X. Ren, Y. L. Li, Y. F. Li, and H. C. Cheng, “Damage detection of bridges subjected to moving load based on domain-adversarial neural network considering measurement and model error,” Eng Struct, vol. 293, no. May, 2023, doi: 10.1016/j.engstruct.2023.116601. [Google Scholar]
- S. Sony, S. Gamage, A. Sadhu, and J. Samarabandu, “Multiclass Damage Identification in a Full-Scale Bridge Using Optimally Tuned One-Dimensional Convolutional Neural Network,” Journal of Computing in Civil Engineering, vol. 36, no. 2, Mar. 2022, doi: 10.1061/(ASCE)CP.1943-5487.0001003. [CrossRef] [Google Scholar]
- S. Sony and A. Sadhu, “Multivariate empirical mode decomposition–based structural damage localization using limited sensors,” Journal of Vibration and Control, vol. 28, no. 15–16, pp. 2155–2167, Aug. 2022, doi: 10.1177/10775463211006965. [CrossRef] [PubMed] [Google Scholar]
- S. Inam, A. Mahmood, S. Khatoon, M. Alshamari y N. Nawaz, “Multisource Data Integration and Comparative Analysis of Machine Learning Models for On-Street Parking Prediction,” Sustainability, 2022. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.