YoungJin Cha, F.ASCE

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Oral BuyukozturkProfessor of Civil and Environmental Engineering, Masachusetts Institute of TechnologyEmail verificata su mit.edu
Wooram ChoiUniversity of ManitobaEmail verificata su myumanitoba.ca
Anil AgrawalProfessor of Civil Engineering, The City College of New YorkEmail verificata su ccny.cuny.edu
Dong Ho KangPh.D.Email verificata su ericsson.com
Gahyun SuhB.Sc., Computer Science Major (Co-op), University of ManitobaEmail verificata su myumanitoba.ca
Justin G. ChenMassachusetts Institute of TechnologyEmail verificata su mit.edu
Rahmat AliScientist (R&D), Canadian Nuclear LaboratoriesEmail verificata su myumanitoba.ca
Yeesock KimProfessor of Civil Engineering and Construction Management, California Baptist UniversityEmail verificata su calbaptist.edu
Shirley J. DykeCoates Professor of Mechanical Eng, Professor of Civil and Construction Eng, Purdue UniversityEmail verificata su purdue.edu
Anne RaichAssociate Professor, Valparaiso UniversityEmail verificata su valpo.edu
Fredo DurandProfessor of Computer Science, MITEmail verificata su mit.edu
William T. FreemanProfessor of Computer Science, MITEmail verificata su mit.edu
Neal WadhwaGoogle ResearchEmail verificata su mit.edu
Esmaeil GhorbaniPolytechnique MontrealEmail verificata su polymtl.ca
James RiclesBruce G. Johnston Professor of Structural Engineering, Lehigh UniversityEmail verificata su lehigh.edu
Billie F. Spencer, Jr.Professor of Civil and Environmental Engineering, University of Illinois at Urbana-ChampaignEmail verificata su illinois.edu
Brian PhillipsAssociate Professor, University of FloridaEmail verificata su essie.ufl.edu
Alireza MostafaviMaster's student at the University of ManitobaEmail verificata su myumanitoba.ca
Richard ChristensonProfessor, Department of Civil & Environmental Engineering, University of ConnecticutEmail verificata su engr.uconn.edu
Luciana BarrosoAssociate Professor, Zachry Dept. Civil Engineering, Texas A&M UniversityEmail verificata su civil.tamu.edu

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YoungJin Cha, F.ASCE

Professor of Civil Engineering, University of Manitoba

Email verificata su umanitoba.ca - Home page

Deep learning Structural Health Monitoring Automation Dynamics & Control


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Deep learning-based crack damage detection using convolutional neural networks YJ Cha, W Choi, O Buyukozturk Computer-Aided Civil and Infrastructure Engineering 32 (5), 361-378, 2016	3338	2016
Autonomous structural visual inspection using region‐based deep learning for detecting multiple damage types YJ Cha, W Choi, G Suh, S Mahmoudkhani, O Büyüköztürk Computer‐Aided Civil and Infrastructure Engineering, 2017	1544	2017
Modal identification of simple structures with high-speed video using motion magnification JG Chen, N Wadhwa, YJ Cha, F Durand, WT Freeman, O Buyukozturk Journal of Sound and Vibration 345, 58-71, 2015	576	2015
SDDNet: Real-time crack segmentation W Choi, YJ Cha IEEE Transactions on Industrial Electronics, 2019	393	2019
Autonomous UAVs for structural health monitoring using deep learning and an ultrasonic beacon system with geo‐tagging D Kang, YJ Cha Computer‐Aided Civil and Infrastructure Engineering, 2018	390	2018
Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning D Kang, SS Benipal, DL Gopal, YJ Cha Automation in Construction 118, 103291, 2020	334	2020
Vision-based detection of loosened bolts using the Hough transform and support vector machines YJ Cha, K You, W Choi Automation in Construction 71, 181-188, 2016	323	2016
Unsupervised deep learning approach using a deep auto-encoder with a one-class support vector machine to detect damage Z Wang, YJ Cha Structural Health Monitoring 20 (1), 406-425, 2021	267	2021
Structural damage detection using modal strain energy and hybrid multiobjective optimization YJ Cha, O Buyukozturk Computer‐Aided Civil and Infrastructure Engineering 30 (5), 347-358, 2015	263	2015
Deep learning-based automatic volumetric damage quantification using depth camera GH Beckman, D Polyzois, YJ Cha Automation in Construction 99, 114-124, 2019	215	2019
Efficient attention-based deep encoder and decoder for automatic crack segmentation DH Kang, YJ Cha Structural Health Monitoring 21 (5), 2190-2205, 2022	212	2022
Output-only computer vision based damage detection using phase-based optical flow and unscented Kalman filters YJ Cha, JG Chen, O Büyüköztürk Engineering Structures 132, 300-313, 2017	208	2017
Attention-based generative adversarial network with internal damage segmentation using thermography R Ali, YJ Cha Automation in Construction 141, 104412, 2022	157	2022
Fully automated vision-based loosened bolt detection using the Viola–Jones algorithm L Ramana, W Choi, YJ Cha Structural Health Monitoring 18 (2), 422-434, 2019	150	2019
Unsupervised novelty detection–based structural damage localization using a density peaks-based fast clustering algorithm YJ Cha, Z Wang Structural Health Monitoring 17 (2), 313-324, 2018	148	2018
Subsurface damage detection of a steel bridge using deep learning and uncooled micro-bolometer R Ali, YJ Cha Construction and Building Materials 226, 376-387, 2019	139	2019
Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures R Ali, D Kang, G Suh, YJ Cha Automation in Construction 130, 103831, 2021	124	2021
Multi-objective genetic algorithms for cost-effective distributions of actuators and sensors in large structures YJ Cha, AK Agrawal, Y Kim, AM Raich Expert Systems with Applications 39 (9), 7822-7833, 2012	105	2012
Large-scale real-time hybrid simulation for evaluation of advanced damping system performance A Friedman, SJ Dyke, B Phillips, R Ahn, B Dong, Y Chae, N Castaneda, ... Journal of Structural Engineering 141 (6), 04014150, 2015	97	2015
Structural modal identification through high speed camera video: Motion magnification JG Chen, N Wadhwa, YJ Cha, F Durand, WT Freeman, O Buyukozturk Topics in Modal Analysis I, Volume 7: Proceedings of the 32nd IMAC, A …, 2014	94	2014

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