Enhanced Object Detection for Railway Component Safety Using the YOLO-World Model

J. Park, C. Park, N. Kim, J. W. Kang and J. Gwak* , International Conference on Electrical Facilities and information technologies(ICEF 2024) , Korea National University of Transportation, Korea, August 22, 2024. , Best paper Award

Enhancing Partial Discharge Classification through Multimodal Feature Ensemble Mechanism

N. Kim, C. Park, J. Park, J. W. Kang and J. Gwak* , International Conference on Electrical Facilities and information technologies(ICEF 2024) , Korea National University of Transportation, Korea, August 22, 2024. , Best paper Award

Time-Mixing and Self-Attention Techniques for Enhanced Partial Discharge Data Analysis

C. Park, N. Kim, J. Park, J. W. Kang and J. Gwak* , International Conference on Electrical Facilities and information technologies(ICEF 2024) , Korea National University of Transportation, Korea, August 22, 2024. , Best paper Award

Enhanced Analysis of Phase Resolved Partial Discharge Data Using DeepViT with Kolmogorov–Arnold Networks

X. Hu, S. Masood and J. Gwak* , International Conference on Electrical Facilities and information technologies(ICEF 2024) , Korea National University of Transportation, Korea, August 22, 2024.

Distillation-Based Approach for Efficient Machine Unlearning in Anomaly Detection

S. Masood and J. Gwak* , International Conference on Electrical Facilities and information technologies(ICEF 2024) , Korea National University of Transportation, Korea, August 22, 2024.

Optimized Hybrid TransUNet for Enhanced Brain Tumor Segmentation

S. Ahmad and J. Gwak* , International Conference on Electrical Facilities and information technologies(ICEF 2024) , Korea National University of Transportation, Korea, August 22, 2024.

Condition-Based Diffusion Model for Detection Anomalies in Railway Components

J. Gwak* , International Conference on Electrical Facilities and information technologies(ICEF 2024) , Korea National University of Transportation, Korea, August 22, 2024.

A CNN-LSTM Model for Alzheimer’s Disease Multi-Class Classification using Multichannel EEG

T. K. K. Ho, H. Lim, J. Kang, J.-I. Song, J. Gwak* , The 16th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2021), pp. 23-25, 2021 , Outstanding Paper Award

COVID-19 Detection with a Semi-Supervised Adversarial Autoencoder in Chest Radiographs

Z. Ullah, T. K. K. Ho, H. Lim, J. Kang, J. Gwak* , The 16th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2021), pp. 109-111, 2021

Feature Integration for COVID-19 Classification using Chest Radiography

T. K. K. Ho, Z. Ullah, I. Kim, H. Lim, J. Kang, J. Gwak* , The 16th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2021), pp. 106-108, 2021

KD-ResUNet++: Automatic Polyp Segmentation via Self-Knowledge Distillation

J. Kang, J. Gwak* , in Proceedings of MediaEval, 2020

Investigation of Cerebral Hemodynamic Changes in Mild Cognitive Impairment Due to Alzheimer's Disease During a Verbal Fluency Task

M. Kim, T. Nguyen, J. Gwak, J-J. Lee, K-Y. Choi, K-H. Lee, and J. G. Kim , in 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7) , June 27-29, 2019, Ho Chi Minh City, Vietnam

Complex Wavelet Transform-based Approach for Human Action Recognition in Video

Manish Khare, J. Gwak, M. Jeon , in Proceedings of the International Conference on Control Automation & Information Science (IEEE ICCAIS 2017) , October 31-November 1, 2017, Chiang Mai, Thailand

Conditional Marked Point Process-based Crowd Counting in Sparsely and Moderately Crowded Scenes

Y. Yoon, J. Gwak, J-I. Song and M. Jeon , in Proceedings of the International Conference on Control Automation & Information Science (IEEE ICCAIS 2016) , October 27-29, 2016, Ansan, Korea.

Feature Flow-Based Abnormal Event Detection using a Scene Adaptive Cuboid Determination Method

H. Shin, J. Gwak, J. Yu, M. Jeon , in Proceedings of the International Conference on Control Automation & Information Science (IEEE ICCAIS 2016) , -October 27-29, 2016, Ansan, Korea.