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My Publication

1.) Y., Bai,  A., Demir, A., Yilmaz, H., Sezen (2023). Assessment and monitoring of bridges using various camera placements and structural analysis. Journal of Civil Structural Health Monitoring.  10.1007/s13349-023-00720-6

2.) Y., Bai,  H., Sezen, A., Yilmaz, R., Qin (2023). Bridge vibration measurements using different camera placements and techniques of computer vision and deep learning. ABEN 4, 25 . https://doi.org/10.1186/s43251-023-00105-1

3.) Y., Bai, B., Zha, H., Sezen, and A., Yilmaz (2022). Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events. Journal of Structural Health Monitoring. Structural Health Monitoring, Vol. May 5, 2022. https://doi.org/10.1177/14759217221083649.

4.). Y. Bai, M. Ramzi, H. Sezen, and A. Yilmaz (2021). Automatic Displacement and Vibration Measurement in Laboratory Experiments with a Deep Learning Method. IEEE Sensors Conference.

5.) Y., Bai, H., Sezen, and A. Yilmaz (2021). Detecting Cracks and Spalling Automatically in Extreme Events by End-To Deep Learning Frameworks, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 161–168, https://doi.org/10.5194/isprs-annals-V-2-2021-161-2021, 2021.

6.) Y., Bai, H., Sezen, and A. Yilmaz (2020). End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales. arXiv preprint arXiv:2011.03098.

7. ) Y., Bai, B., Zha, H., Sezen, and A., Yilmaz (2020). Deep cascaded neural networks for automatic detection of structural damage and cracks from images. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2, 411-417.

8.) B., Zha, Y., Bai, A. Yilmaz , and H., Sezen (2019). Deep Convolutional Neural Networks for Comprehensive Structural Health Monitoring and Damage Detection. Structural Health Monitoring 2019.

9. ) Y., B., Zha, J., Wei, A., Yilmaz, and H., Sezen (2019), Predicting Time of Earthquake with Neural Network and Other Machine Learning Methods, Presentation of the 2019 Eastern Section-SSA Annual Meeting