Development of automated 3D knee bone segmentation with inhomogeneity correction for deformable approach in magnetic resonance imaging. - Dongyoun Kim; Jiyoung Lee; Joon Shik Yoon; Kwang Jae Lee; Kwanghee Won (RACS, 2018)

Development of vegetation mapping with deep convolutional neural network. - Sae-Han Suh; Ji-Eun Jhang; Kwanghee Won; Sung Y. Shin; Chang Oan Sung (RACS, 2018)

Instance segmentation in urban scenes using inverse perspective mapping of 3D point clouds and 2D images. - Chungyup Lee; Soohyeon Choi; Jung-Yeop Kim; Kwanghee Won (RACS, 2019)

Preprocessed symmetric RSA authentication for wireless body area networks in space. - Sangwon Shin; Soohyeon Choi; Kwanghee Won; Sung Y. Shin (RACS, 2019)

A robust and secure backup system for protecting malware. - Myungjoon Shon; Heejin Kim; Kicheol Park; Juw Won Park; Kwanghee Won; Jiman Hong (SAC, 2019)

Kernel-controlled DQN based CNN Pruning for Model Compression and Acceleration. - Romancha Khatri; Kwanghee Won (RACS, 2020)

Semantic Classification of EMF-related Literature using Deep Learning Models with Attention Mechanism. - Kwanghee Won; Youjeong Jang; Hyung-Do Choi; Sung Shin (RACS, 2020)

Automated Transverse Crack Mapping System with Optical Sensors and Big Data Analytics. - Kwanghee Won; Chungwook Sim (Sensors, 2020)

Crack Detection and Location Estimation Using a Convolutional Neural Network. - Mengling Ding; Kwanghee Won (IW-FCV, 2021)

Task dependent model complexity: shallow vs deep network. - Abir Mohammad Hadi; Kwanghee Won; Sung Shin (RACS, 2022)

Deep learning models for multiple answers extraction and classification of scientific publications. - Youngsun Jang; Kwanghee Won; Hyung-Do Choi; Sung Shin (RACS, 2022)

Deep Reinforcement Learning Agent for Dynamic Pruning of Convolutional Layers. - Abir Mohammad Hadi; Youngsun Jang; Kwanghee Won (RACS, 2023)

FulltextAttention: Full-text Classification of Scientific Papers Using Combined Model of BiGRU and Bahdanau Attention. - Youngsun Jang; Hyung Do Choi; Kwanghee Won; Sung Y. Shin (RACS, 2023)

Crack Segmentation with Generative Deep Learning-Based Data Augmentation Approach. - Kwanghee Won; Mostafa Tazarv; Timothy M. Hansen (RACS, 2023)

Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model. - Babak Azad; Ahmed Abdalla; Kwanghee Won; Ali Mirzakhani Nafchi (CoRR, 2023)

Multimodal Fusion of Heterogeneous Representations for Anomaly Classification in Satellite Imagery. - Youngsun Jang; Maryam Moshrefizadeh; Abir Mohammad Hadi; Kwanghee Won; John Kim 002 (SAC, 2024)

Cyber security in smart agriculture: Threat types, current status, and future trends. - Mohammad Ashik Alahe; Lin Wei; Young Chang; Sainath Reddy Gummi; James Kemeshi; Xufei Yang; Kwanghee Won; Mazhar Sher (Comput. Electron. Agric., 2024)

Real-Time agricultural image encryption algorithm using AES on edge computing devices. - Mohammad Ashik Alahe; Young Chang; James Kemeshi; Kwanghee Won; Xufei Yang; Lin Wei (Comput. Electron. Agric., 2025)

A Novel Dataset for Flood Detection Robust to Seasonal Changes in Satellite Imagery. - Youngsun Jang; Dongyoun Kim; Chulwoo Pack; Kwanghee Won (CoRR, 2025)