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MONDAY, SEPTEMBER 9 • 1:40PM–3:20PM
1:40PM 2:00PM 2:20PM 2:40PM 3:00PM
Symposium 5 Structural Health Monitoring
5-3 Machine Learning and Probabilistic Approaches in SHM 1:40PM–3:20PM Level 3, Barrel
Session Organizer: Benjamin Grisso, Naval Surface Warfare Center Carderock, West Bethesda, MD, United States
Session Co-Organizer: Ed Habtour, Sandia National Laboratories, Albuquerque, NM, United States
1:40PM Design and Validation of 2:00PM Development of a 2:20PM Multiclass Welding Defect 2:40PM Structural Health 3:00PM Automated Evaluation
a Probabilistic Health Monitoring Structural Health Monitoring Detection and Classification Using Monitoring of Composite Structures Method for Phased Array Ultrasonic
System Using Embedded Methodology in Reinforcement Convolution Neural Network in via Multivariate Linear Regression Testing Using Recurrent Neural
Piezoelectric Patch Sensors Concrete Structures Using FBGs and Radiographic Image Analysis of Mechanoluminescence Networks and K-means Clustering
Pattern Recognition Techniques
Technical Paper Publication. Technical Presentation. Technical Paper Publication. Technical Presentation.
SMASIS2019-5506 Technical Paper Publication. SMASIS2019-5585 SMASIS2019-5697 SMASIS2019-5721
SMASIS2019-5517
Amin Toghi Eshghi, University of Ji-Hyung An, Yong-Ho Kim, Jung- Sujasha Gupta, Srivatsava Krishnan, Yong-Ho Kim, Jung-Ryul Lee, Korea
Maryland Baltimore County, Ellicott Alejandra Amaya, Joham Alvarez- Ryul Lee, Korea Advanced Institute Vishnu Baba Sundaresan, Ohio State Advanced Institute of Science and
City, MD, United States, Soobum Montoya, Julián Sierra-Pérez, of Science and Technology, Daejeon, University, Columbus, OH, United Technology, Daejeon, Korea (Republic)
Lee, Hyunjun Jung, University of Universidad Pontificia Bolivariana, Korea (Republic)
Maryland Baltimore County, Baltimore, Medellin, Antioquia, Colombia States
MD, United States, Pingfeng Wang,
University of Illinois at Urbana-
Champaign, Urbana, IL, United States
Technical Sessions
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