| Bolt-loosening monitoring framework using an image-based deep learning and graphical model HC Pham, QB Ta, JT Kim, DD Ho, XL Tran, TC Huynh Sensors 20 (12), 3382, 2020 | 58 | 2020 |
| Monitoring of corroded and loosened bolts in steel structures via deep learning and Hough transforms QB Ta, JT Kim Sensors 20 (23), 6888, 2020 | 24 | 2020 |
| A smart LED therapy device with an automatic facial acne vulgaris diagnosis based on deep learning and internet of things application DT Phan, QB Ta, TC Huynh, TH Vo, CH Nguyen, S Park, J Choi, J Oh Computers in Biology and Medicine 136, 104610, 2021 | 19 | 2021 |
| 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 | 14 | 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 | 14 | 2022 |
| Optimal localization of smart aggregate sensor for concrete damage monitoring in PSC anchorage zone QQ Pham, NL Dang, QB Ta, JT Kim Sensors 21 (19), 6337, 2021 | 14 | 2021 |
| 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 | 14 | 2021 |
| Smart low level laser therapy system for automatic facial dermatological disorder diagnosis DT Phan, QB Ta, CD Ly, CH Nguyen, S Park, J Choi, HO Se, J Oh IEEE Journal of Biomedical and Health Informatics 27 (3), 1546-1557, 2023 | 7 | 2023 |
| 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 | 6 | 2022 |
| Capsule-Like Smart Aggregate with Pre-Determined Frequency Range for Impedance-Based Stress Monitoring QQ Pham, QB Ta, JT Kim Sensors 23 (1), 434, 2022 | 5 | 2022 |
| Semantic crack-image identification framework for steel structures using atrous convolution-based Deeplabv3+ Network QB Ta, NL Dang, YC Kim, HD Kam, JT Kim Smart Structures and Systems 30 (1), 17, 2022 | 1 | 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, 2024 | | 2024 |
| 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 |
| Smart aggregate-based automated concrete stress monitoring via deep learning of impedance signals K Jeong-Tae, T Quoc-Bao, P Quang-Quang, NL Pham, TC Huynh Life-Cycle of Structures and Infrastructure Systems (PROCEEDINGS OF THE …, 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 |
| 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 | | 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 |
Thanh-Canh HuynhInstitute of Research and Development, Duy Tan University, VietnamVerified email at duytan.edu.vn
