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- Vol. 5 Issue 3
- Article
AI-IoT Smart Infrastructure Crack Detection System
Authors
1 Assistant Professor, Department of Information Science and Engineering, Bapuji Institute of Engineering, karnatka, India. 2 3 4 5 Department of Information Science and Engineering, Bapuji Institute of Engineering, karnatka, India.
Article Information
- Published In
- Volume 5, Issue 3 (2026)
- Published Online
- September-December 2026
- Pages
- 441-447
- Article Type
- Original Article
References
1. Y.-J. Cha, R. Ali, J. Lewis, and O. Büyüköztürk, “Deep Learning-Based Structural Health Monitoring,” Automation in Construction, vol. 161, 2024, article 105328. Verify bibliographic details before submission.
2. Y. Xu, Y. Fan, Y. Bao, and H. Li, “Few-Shot Learning for Structural Health Diagnosis of Civil Infrastructure,” Advanced Engineering Informatics, vol. 62, 2024, article 102650. Verify bibliographic details before submission.
3. F. Moreh, H. Lyu, Z. H. Rizvi, and F. Wuttke, “Deep Neural Networks for Crack Detection Inside Structures,” Scientific Reports, vol. 14, 2024, article 4439. Verify bibliographic details before submission.
4. Y. Chen et al., “When Transfer Learning Meets Dictionary Learning: A New Hybrid Method for Fast and Automatic Detection of Cracks on Concrete Surfaces,” Structural Control and Health Monitoring, 2024, article 3185640. Verify bibliographic details before submission.
5. J. Jia and Y. Li, “Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends,” Sensors, vol. 23, no. 21, 2023, article 8824. Verify bibliographic details before submission.
6. U. M. N. Jayawickrema et al., “Fibre-Optic Sensor and Deep Learning-Based Structural Health Monitoring Systems for Civil Structures: A Review,” Measurement, vol. 199, 2022, article 111543. Verify bibliographic details before submission.
7. G.-Q. Zhang, B. Wang, J. Li, and Y.-L. Xu, “The Application of Deep Learning in Bridge Health Monitoring: A Literature Review,” Advances in Bridge Engineering, vol. 3, 2022, article 22. Verify bibliographic details before submission.
8. D. Dais, I. E. Bal, E. Smyrou, and V. Sarhosis, “Automatic Crack Classification and Segmentation on Masonry Surfaces Using Convolutional Neural Networks and Transfer Learning,” Automation in Construction, vol. 125, 2021, article 103606. Verify bibliographic details before submission.
2. Y. Xu, Y. Fan, Y. Bao, and H. Li, “Few-Shot Learning for Structural Health Diagnosis of Civil Infrastructure,” Advanced Engineering Informatics, vol. 62, 2024, article 102650. Verify bibliographic details before submission.
3. F. Moreh, H. Lyu, Z. H. Rizvi, and F. Wuttke, “Deep Neural Networks for Crack Detection Inside Structures,” Scientific Reports, vol. 14, 2024, article 4439. Verify bibliographic details before submission.
4. Y. Chen et al., “When Transfer Learning Meets Dictionary Learning: A New Hybrid Method for Fast and Automatic Detection of Cracks on Concrete Surfaces,” Structural Control and Health Monitoring, 2024, article 3185640. Verify bibliographic details before submission.
5. J. Jia and Y. Li, “Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends,” Sensors, vol. 23, no. 21, 2023, article 8824. Verify bibliographic details before submission.
6. U. M. N. Jayawickrema et al., “Fibre-Optic Sensor and Deep Learning-Based Structural Health Monitoring Systems for Civil Structures: A Review,” Measurement, vol. 199, 2022, article 111543. Verify bibliographic details before submission.
7. G.-Q. Zhang, B. Wang, J. Li, and Y.-L. Xu, “The Application of Deep Learning in Bridge Health Monitoring: A Literature Review,” Advances in Bridge Engineering, vol. 3, 2022, article 22. Verify bibliographic details before submission.
8. D. Dais, I. E. Bal, E. Smyrou, and V. Sarhosis, “Automatic Crack Classification and Segmentation on Masonry Surfaces Using Convolutional Neural Networks and Transfer Learning,” Automation in Construction, vol. 125, 2021, article 103606. Verify bibliographic details before submission.
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