Industrial AI Laboratory
Publication
Conference Proceedings
Improvement of spatiotemporal resolution based on deep learning in 3D photoacoustic tomography
Seongwook Choi*, Jinge Yang*, Sooyoung Lee*, Jiwoong Kim, Byullee Park, Seungchul Lee, Chulhong Kim
Opto-Acoustic Methods and Applications in Biophotonics VI, 2023
A physics-informed neural network for wave scattering phenomena and its analyses in physical consistency
Sooyoung Lee, Hyung Jin Lee, Choon-Su Park, Keonhyeok Park, Seungchul Lee
Spring Annual Conference of KSME (CAE and Applied Mechanics division), 2022
Non-contact boundary condition quantification using data-driven beamforming approach
Sooyoung Lee, Jiho Chang, Seungchul Lee
24th International Congress on Acoustics (ICA), 2022
Point-level deep learning approach for 3D sound source localization in spherical microphone array
Asia Pacific Confernce of the Prognostics and Health Management Society (PHMAP), 2021
Deep learning-enhanced single point sound source localization for spherical microphone array
INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2021
Deep learning-based methods for establishing multiple sound source maps and predicting them with high resolution and accuracy
Fall Annual Conference of KSNVE, 2020
Deep learning-based state observer system for applications in vehicle suspension control
Gyuwon Kim, Sooyoung Lee, Seungchul Lee
An overview of deep learning techniques for fault detection using vibration signal
Bayu Adhi Tama, Sooyoung Lee, Seungchul Lee
INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2020
New way of detecting vibration of mechanical systems by explainable deep learning
Hyunsuk Huh, Sooyoung Lee, Seungchul Lee, Kyung Ho Sun, Joon Ha Jung
Acoustic source localization for single point source using convolutional neural network and weighted frequency loss
Frequency-driven convolutional neural network for enhancing noise-robustness of bearing fault detection
Sooyoung Lee, Yunseob Hwang, Seungchul Lee
Remote machine mode detection in cold forging using vibration signal
Andrew Glaeser, Vignesh Selvaraj, Kangsan Lee, Namjeong Lee, Yunseob Hwang, Sooyoung Lee, Seungchul Lee, Sangkee Min
48th SME North American Manufacturing Research Conference (NAMRC), 2020
Data preprocessing and machine learning techniques for detection and classification of bearing faults
Sooyoung Lee, Juhyeong Jeon, Kangsan Lee, Jungchan Kim, Taegyu Choi, Seungchul Lee
Fall Annual Conference of KSNVE, 2019
Transfer learning for enhancing bearing fault detection performance under time-varying speed conditions
