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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Cha, Young-Jin / Ali, Rahmat / Lewis, John / Büyükӧztürk, Oral (2024): Deep learning-based structural health monitoring. In: Automation in Construction, v. 161 (May 2024).

    https://doi.org/10.1016/j.autcon.2024.105328

  2. Waqas, Ali / Kang, Dongho / Cha, Young-Jin (2023): Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring. In: Structural Health Monitoring, v. 23, n. 2 (July 2023).

    https://doi.org/10.1177/14759217231177314

  3. Mostafavi, Alireza / Cha, Young-Jin (2023): Deep learning-based active noise control on construction sites. In: Automation in Construction, v. 151 (July 2023).

    https://doi.org/10.1016/j.autcon.2023.104885

  4. Ali, Rahmat / Cha, Young-Jin (2022): Attention-based generative adversarial network with internal damage segmentation using thermography. In: Automation in Construction, v. 141 (September 2022).

    https://doi.org/10.1016/j.autcon.2022.104412

  5. Kang, Dong H. / Cha, Young-Jin (2022): Efficient attention-based deep encoder and decoder for automatic crack segmentation. In: Structural Health Monitoring, v. 21, n. 5 (March 2022).

    https://doi.org/10.1177/14759217211053776

  6. Ghorbani, Esmaeil / Svecova, Dagmar / Thomson, Douglas J. / Cha, Young-Jin (2022): Bridge pier scour level quantification based on output-only Kalman filtering. In: Structural Health Monitoring, v. 21, n. 5 (March 2022).

    https://doi.org/10.1177/14759217211053781

  7. Ali, Rahmat / Kang, Dongho / Suh, Gahyun / Cha, Young-Jin (2021): Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures. In: Automation in Construction, v. 130 (October 2021).

    https://doi.org/10.1016/j.autcon.2021.103831

  8. Chen, Justin G. / Wadhwa, Neal / Cha, Young-Jin / Durand, Frédo / Freeman, William T. / Büyüköztürk, Oral (2015): Modal identification of simple structures with high-speed video using motion magnification. In: Journal of Sound and Vibration, v. 345 (June 2015).

    https://doi.org/10.1016/j.jsv.2015.01.024

  9. Cha, Young-Jin / Wang, Zilong (2017): Unsupervised novelty detection–based structural damage localization using a density peaks-based fast clustering algorithm. In: Structural Health Monitoring, v. 17, n. 2 (January 2017).

    https://doi.org/10.1177/1475921717691260

  10. Ramana, Lovedeep / Choi, Wooram / Cha, Young-Jin (2018): Fully automated vision-based loosened bolt detection using the Viola–Jones algorithm. In: Structural Health Monitoring, v. 18, n. 2 (January 2018).

    https://doi.org/10.1177/1475921718757459

  11. Wang, Zilong / Cha, Young-Jin (2020): Unsupervised deep learning approach using a deep auto-encoder with a one-class support vector machine to detect damage. In: Structural Health Monitoring, v. 20, n. 1 (March 2020).

    https://doi.org/10.1177/1475921720934051

  12. Kang, Dongho / Benipal, Sukhpreet S. / Gopal, Dharshan L. / Cha, Young-Jin (2020): Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning. In: Automation in Construction, v. 118 (October 2020).

    https://doi.org/10.1016/j.autcon.2020.103291

  13. Cha, Young-Jin / Choi, Wooram / Suh, Gahyun / Mahmoudkhani, Sadegh / Büyüköztürk, Oral (2018): Autonomous Structural Visual Inspection Using Region-Based Deep Learning for Detecting Multiple Damage Types. In: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 9 (August 2018).

    https://doi.org/10.1111/mice.12334

  14. Kang, Dongho / Cha, Young-Jin (2018): Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo-Tagging. In: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 10 (September 2018).

    https://doi.org/10.1111/mice.12375

  15. Cha, Young-Jin / Choi, Wooram / Büyüköztürk, Oral (2017): Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks. In: Computer-Aided Civil and Infrastructure Engineering, v. 32, n. 5 (April 2017).

    https://doi.org/10.1111/mice.12263

  16. Cha, Young-Jin / Büyüköztürk, Oral (2015): Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization. In: Computer-Aided Civil and Infrastructure Engineering, v. 30, n. 5 (April 2015).

    https://doi.org/10.1111/mice.12122

  17. Temimi, Helmi / Ben-Romdhane, Mohamed / El-Borgi, Sami / Cha, Young-Jin (2016): Time-Delay Effects on Controlled Seismically Excited Linear and Nonlinear Structures. In: International Journal of Structural Stability and Dynamics, v. 16, n. 7 (August 2016).

    https://doi.org/10.1142/s0219455415500315

  18. Ali, Rahmat / Cha, Young-Jin (2019): Subsurface damage detection of a steel bridge using deep learning and uncooled micro-bolometer. In: Construction and Building Materials, v. 226 (November 2019).

    https://doi.org/10.1016/j.conbuildmat.2019.07.293

  19. Mitchell, Ryan / Cha, Young-Jin / Kim, Yeesock / Mahajan, Aniket Anil (2015): Active control of highway bridges subject to a variety of earthquake loads. In: Earthquake Engineering and Engineering Vibration, v. 14, n. 2 (June 2015).

    https://doi.org/10.1007/s11803-015-0021-6

  20. Beckman, Gustavo H. / Polyzois, Dimos / Cha, Young-Jin (2019): Deep learning-based automatic volumetric damage quantification using depth camera. In: Automation in Construction, v. 99 (March 2019).

    https://doi.org/10.1016/j.autcon.2018.12.006

  21. Cha, Young-Jin / Raich, Anne / Barroso, Luciana / Agrawal, Anil (2013): Optimal placement of active control devices and sensors in frame structures using multi-objective genetic algorithms. In: Structural Control and Health Monitoring, v. 20, n. 1 (January 2013).

    https://doi.org/10.1002/stc.468

  22. Cha, Young-Jin / Agrawal, Anil K. (2013): Decentralized output feedback polynomial control of seismically excited structures using genetic algorithm. In: Structural Control and Health Monitoring, v. 20, n. 3 (March 2013).

    https://doi.org/10.1002/stc.486

  23. Cha, Young-Jin / Agrawal, Anil K. (2013): Velocity based semi-active turbo-Lyapunov control algorithms for seismically excited nonlinear smart structures. In: Structural Control and Health Monitoring, v. 20, n. 6 (June 2013).

    https://doi.org/10.1002/stc.1517

  24. Cha, Young-Jin / Agrawal, Anil K. (2017): Seismic retrofit of MRF buildings using decentralized semi-active control for multi-target performances. In: Earthquake Engineering and Structural Dynamics, v. 46, n. 3 (March 2017).

    https://doi.org/10.1002/eqe.2796

  25. Cha, Young-Jin / You, Kisung / Choi, Wooram (2016): Vision-based detection of loosened bolts using the Hough transform and support vector machines. In: Automation in Construction, v. 71 (November 2016).

    https://doi.org/10.1016/j.autcon.2016.06.008

  26. Cha, Young-Jin / Bai, Jong-Wha (2016): Seismic fragility estimates of a moment-resisting frame building controlled by MR dampers using performance-based design. In: Engineering Structures, v. 116 (June 2016).

    https://doi.org/10.1016/j.engstruct.2016.02.055

  27. Cha, Young-Jin / Agrawal, Anil K. / Phillips, Brian M. / Spencer, Billie F. (2014): Direct performance-based design with 200kN MR dampers using multi-objective cost effective optimization for steel MRFs. In: Engineering Structures, v. 71 (July 2014).

    https://doi.org/10.1016/j.engstruct.2014.04.023

  28. Cha, Young-Jin / Agrawal, Anil K. / Friedman, Anthony / Phillips, Brian / Ahn, Ryan / Dong, Biping / Dyke, Shirley J. / Spencer, Bill F. / Ricles, James / Christenson, Richardson (2014): Performance Validations of Semiactive Controllers on Large-Scale Moment-Resisting Frame Equipped with 200-kN MR Damper Using Real-Time Hybrid Simulations. In: Journal of Structural Engineering (ASCE), v. 140, n. 10 (October 2014).

    https://doi.org/10.1061/(asce)st.1943-541x.0000982

  29. Epp, Tyler / Cha, Young-Jin (2017): Air-coupled impact-echo damage detection in reinforced concrete using wavelet transforms. In: Smart Materials and Structures, v. 26, n. 2 (February 2017).

    https://doi.org/10.1088/1361-665x/26/2/025018

  30. Cha, Young-Jin / Zhang, Jianqiu / Agrawal, Anil K. / Dong, Baiping / Friedman, Anthony / Dyke, Shirley J. / Ricles, James (2013): Comparative Studies of Semiactive Control Strategies for MR Dampers: Pure Simulation and Real-Time Hybrid Tests. In: Journal of Structural Engineering (ASCE), v. 139, n. 7 (July 2013).

    https://doi.org/10.1061/(asce)st.1943-541x.0000639

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