A method for automated bolt-loosening monitoring and assessment using impedance technique and deep learning TT Nguyen, QB Ta, DD Ho, JT Kim, TC Huynh Developments in the Built Environment 14, 100122, 2023 | 34 | 2023 |
Corroded bolt identification using mask region-based deep learning trained on synthesized data QB Ta, TC Huynh, QQ Pham, JT Kim Sensors 22 (9), 3340, 2022 | 28 | 2022 |
Deep learning-based functional assessment of piezoelectric-based smart interface under various degradations TC Huynh, TT Nguyen, JT Kim, QB Ta, DD Ho, TTV Phan Smart Structures and Systems, An International Journal 28 (1), 69-87, 2021 | 18 | 2021 |
Raspberry Pi platform wireless sensor node for low-frequency impedance responses of PZT interface QQ Pham, QB Ta, JH Park, JT Kim Sensors 22 (24), 9592, 2022 | 9 | 2022 |
Smart Aggregate‐Based Concrete Stress Monitoring via 1D CNN Deep Learning of Raw Impedance Signals QB Ta, QQ Pham, NL Pham, TC Huynh, JT Kim Structural Control and Health Monitoring 2024 (1), 5822653, 2024 | 4 | 2024 |
Smart aggregate-based automated concrete stress monitoring via deep learning of impedance signals JT Kim, QB Ta, QQ Pham, NL Pham, TC Huynh Life-Cycle of Structures and Infrastructure Systems, 1158-1165, 2023 | 1 | 2023 |
Semantic crack-image identification framework for steel structures using atrous convolution-based Deeplabv3+ Network JT Kim, QB Ta, NL Dang, YC Kim, HD Kam Smart Structures and Systems, An International Journal 30 (1), 17-34, 2022 | 1 | 2022 |
Three-Dimensional Smart Aggregate Sensor for Impedance-based Concrete Stress Monitoring PN Lan, PQ Quang, TQ Bao, KJ Tae 대한토목학회 학술대회, 684-684, 2023 | | 2023 |
Deep Learning of Smart Aggregate's Impedance Signal for Concrete Stress Monitoring TQ Bao, PQ Quang, PN Lan, KJ Tae 대한토목학회 학술대회, 685-685, 2023 | | 2023 |
Capsule-like smart aggregate sensor for wireless impedance monitoring of PSC anchorage P Quang-Quang, T Quoc-Bao, NL Pham, K Jeong-Tae The 2023 World Congress on Advances in Structural Engineering and Mechanics …, 2023 | | 2023 |
1-D CNN deep learning of smart aggregate’s impedance signal for concrete stress monitoring; T Quoc-Bao, P Quang-Quang, P Ngoc-Lan, K Jeong-Tae The 2023 World Congress on Advances in Structural Engineering and Mechanics …, 2023 | | 2023 |
1-D CNN deep learning of impedance signals for damage monitoring in concrete anchorage QB Ta, QQ Pham, NL Pham, JT Kim Structural Monitoring and Maintenance 10 (1), 43, 2023 | | 2023 |
Optimal Locations of Smart Aggregate for Internal Damage Monitoring in PSC Anchorage Zones under Prestress Forces PQ Quang, DN Loi, TQ Bao, KJ Tae 대한토목학회 학술대회, 142-143, 2022 | | 2022 |
Raspberry Pi Platform and Hoop PZT Interface-based Strand Breakage Monitoring in Prestressed Multi-strand Anchorage TQ Bao, PQ Quang, PJ Hyung, KJ Tae 대한토목학회 학술대회, 141-141, 2022 | | 2022 |
Pixel-based crack image segmentation in steel structures using atrous separable convolution neural network QBT Quoc-Bao Ta, Quang-Quang Pham, Yoon-Chul Kim, Hyeon-Dong Kam, Jeong-Tae Kim Structural Monitoring and Maintenance 9 (3), 289-303, 2022 | | 2022 |
Strand Breakage Monitoring in Prestressed Concrete Anchorage using Raspberry Pi-Platformed Impedance Measurement System T Quoc-Bao, P Quang-Quang, JH Park, K Jeong-Tae ACEM22/Structures22, at GECE, SNU, Seoul, South Korea, 2022 | | 2022 |
Assigned Pixel Label-Based Crack Identification in Steel Structures via Encoder-Decoder Network T Quoc-Bao, D Ngoc-Loi, P Quang-Quang, K Hyeon-Dong, K Jeong-Tae ACEM21/Structures21, Seoul, South Korea, 2021 | | 2021 |
Correction: Pham et al. Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model. Sensors 2020, 20, 3382 HC Pham, QB Ta, JT Kim, DD Ho, XL Tran, TC Huynh Sensors 21 (16), 5280, 2021 | | 2021 |
Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model (vol 20, 3382, 2020) HC Pham, QB Ta, JT Kim, DD Ho, XL Tran, TC Huynh SENSORS 21 (16), 2021 | | 2021 |
Synthetized Image-driven Deep Learning and Image Processing for Damage Monitoring of Critical Bolted Joints QB Ta, HD Kam, JT Kim 한국전산구조공학회 2021 학술심포지엄, COSEIK Academic Symposium, 2021 | | 2021 |