| 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 | 74 | 2020 |
| 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 | 44 | 2023 |
| Monitoring of corroded and loosened bolts in steel structures via deep learning and Hough transforms QB Ta, JT Kim Sensors 20 (23), 6888, 2020 | 36 | 2020 |
| 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 | 32 | 2022 |
| 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 | 32 | 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 | 23 | 2021 |
| 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 | 17 | 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 | 13 | 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 | 13 | 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 | 12 | 2024 |
| 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 | 8 | 2022 |
| Integrating the capsule-like smart aggregate-based EMI technique with deep learning for stress assessment in concrete QB Ta, QQ Pham, NL Pham, JT Kim Sensors 24 (14), 4738, 2024 | 4 | 2024 |
| 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 | 3 | 2022 |
| CNN-Based Damage Identification of Submerged Structure-Foundation System Using Vibration Data NL Pham, QB Ta, JT Kim Applied Sciences 14 (17), 7508, 2024 | 1 | 2024 |
| Pseudo-damage simulation and CNN deep learning for damage identification of submerged structure-foundation systems NL Pham, QB Ta, JT Kim Structural Health Monitoring, 14759217241288773, 2024 | 1 | 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 |
| Corrosion and Bolt-loosening Monitoring using Image-based Deep Learning and Hough Transform QB Ta, TC Huynh, QQ Pham, HD Kam, JT Kim ACEM20/Structures20, Seoul, South Korea, 2020 | 1 | 2020 |
| Integrated Monitoring of Stress and Damage Using CNN Deep Learning of Electromechanical Impedance Responses of CSA Sensor JT Kim, QB Ta, NL Pham 2024 21st International Conference on Mechatronics-Mechatronika (ME), 1-5, 2024 | | 2024 |
| Integrated Estimation of Stress and Damage in Concrete Structure Using 2D Convolutional Neural Network Model Learned Impedance Responses of Capsule-like Smart Aggregate Sensor QB Ta, NL Pham, JT Kim Sensors 24 (20), 6652, 2024 | | 2024 |
| Vibration Signals and 1-D CNN Deep Learning for Damage Identification of Coastal Structural System NL Pham, QB Ta, JT Kim The 2024 World Congress on The 2024 Structures Congress (Structures24), The …, 2024 | | 2024 |
Prof. Jeong-Tae KimDepartment of Ocean Engineering, Pukyong National UniversityBestätigte E-Mail-Adresse bei pknu.ac.kr
