Artificial Intelligence and Advanced Technology based Bridge Safety Monitoring System-Reference-Cited by-同舟云学术

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Artificial Intelligence and Advanced Technology based Bridge Safety Monitoring System

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
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Author:

Karunkuzhali D¹,Geetha D²,Manikandan G³,Manikandan J.⁴,Kavitha V⁵

Affiliation:

1. Panimalar Engineering College,Department of Information Technology,Chennai,Tamil Nadu,India

2. BNM Institute of Technology,Department of Information Science and Engineering,Bengaluru,Karnataka,India

3. Kings Engineering College,Department of Information Technology,Sriperumbudur,Tamil Nadu,India

4. Hindusthan College of Engineering and Technology,Department of Mechanical Engineering,Coimbatore,Taminadu,India

5. Sri Sairam Engineering College,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9986507/9986494/09987328.pdf?arnumber=9987328

Reference15 articles.

1. A crowdsourcing-based methodology using smartphones for bridge health monitoring

2. Conception of long-span bridge health monitoring and monitoring system design;qi-wei;Journal of Tongji University Natural Science,2001

3. Validation of bridge health monitoring system using temperature as a proxy for damage

4. Role of NDE in bridge health monitoring

5. Computation of structural flexibility for bridge health monitoring using ambient modal data;doebling,1996

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