Theo dơi
Quoc-Bao Ta
Quoc-Bao Ta
Smart Structural Engineering Lab, Pukyong National University
Email được xác minh tại pukyong.ac.kr - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
342023
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
282022
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
182021
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
92022
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
42024
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
12023
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
12022
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
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