EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues E3S Web Conf., 220 (2020) 01096 Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Ambarnath Banerji, Abir Das, Sabyasachi Nandy, Sufal Dhar, Tiyasha Sarkar, Ankur Mondal, Souvik Das, Soumyadeep Chatterjee, Pallav Dutta, Bansari Deb Majumder and Subimal Roy Barman
699 511 (2026)
https://doi.org/10.1007/978-981-96-9120-3_40

A Critical Review of IoT-Based Structural Health Monitoring for Dams

Aajid Khan, Satanand Mishra, Shivani Pandey, Tanmay Sardar, Aayush Mishra, Manish Mudgal and Sandeep Singhai
IEEE Internet of Things Journal 12 (2) 1368 (2025)
https://doi.org/10.1109/JIOT.2024.3488290

A robust approach for anomaly detection using 1D convolutional Siamese neural networks to enhance structural health monitoring in dams

Christian Tutivén, Luis Moyón and Fernando Salazar
Structural Health Monitoring (2025)
https://doi.org/10.1177/14759217251372614

Applications of Artificial Intelligence in Structural Engineering: A Review

G. A. Suryawanshi, L. S. Mahajan and S. R. Bhagat
International Journal of Inventive Engineering and Sciences 12 (9) 7 (2025)
https://doi.org/10.35940/ijies.B3538.12090925

An Overview of Damage Identification in Composite Structures—From Computational Methods to Machine Learning

Anurag Dubey, Modesar Shakoor, Dmytro Vasiukov, Boutrous Khoury, Mylène Deléglise Lagardère and Salim Chaki
Journal of Composites Science 9 (12) 683 (2025)
https://doi.org/10.3390/jcs9120683

A Support Vector Machine-Based Intelligent System for Real-Time Structural Health Monitoring of Port Tower Cranes

S. Rama Krishna, J. Sathish, M. Tarun, V. Sruthi Jones, S. Raghu Vamsi and S. Janu Sree
Journal of Failure Analysis and Prevention 24 (6) 2543 (2024)
https://doi.org/10.1007/s11668-024-02049-8

Development of a Machine Learning Algorithm for Efficient Localization of Damage in a Composite Structure Using Random Forest Technique

Rama Krishna Shinagam, Tarun Maruvada, Sathish Janjeti, Rahul Mani Datta Talari and Raghu Vamsi Shinagam
Iranian Journal of Science and Technology, Transactions of Civil Engineering 48 (6) 4793 (2024)
https://doi.org/10.1007/s40996-024-01469-8

Transfer learning for structure damage detection of bridges through dynamic distribution adaptation

Li Song, Zhibao Cao, Hongshuo Sun, Zhiwu Yu and Lizhong Jiang
Structures 67 106972 (2024)
https://doi.org/10.1016/j.istruc.2024.106972

Deep learning based damage detection of concrete structures

Maheswara Rao Bandi, Laxmi Narayana Pasupuleti, Tanmay Das and Shyamal Guchhait
Asian Journal of Civil Engineering 25 (7) 5197 (2024)
https://doi.org/10.1007/s42107-024-01106-9

Recent Developments in Geotechnics and Structural Engineering

Shivangi, Priyanka Singh and Bashar S. Mohammed
Lecture Notes in Civil Engineering, Recent Developments in Geotechnics and Structural Engineering 338 191 (2023)
https://doi.org/10.1007/978-981-99-1886-7_16

Detection of Nut–Bolt Loss in Steel Bridges Using Deep Learning Techniques

Zhi-Jun Li, Kabiru Adamu, Kai Yan, et al.
Sustainability 14 (17) 10837 (2022)
https://doi.org/10.3390/su141710837

Prognostics and Machine Learning to Assess Embedded Delamination Tolerance in Composites

Savitha Narayanan Nambisan and B. Dattaguru
SAE International Journal of Aerospace 15 (2) 231 (2022)
https://doi.org/10.4271/01-15-02-0016

Analysis of the behaviour of Cable stayed bridge with different types of Pylon

Priyanka Singh, Mirza Jahangir Baig, Bhumika Pandey, Kartik Papreja and O. Tursunov
E3S Web of Conferences 304 02006 (2021)
https://doi.org/10.1051/e3sconf/202130402006