Kwanghee Won

22 papers Misc 2Journal 5Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Novel Dataset for Flood Detection Robust to Seasonal Changes in Satellite Imagery.
CoRR
Youngsun Jang, Dongyoun Kim, Chulwoo Pack, Kwanghee Won
2025 J jnl
Real-Time agricultural image encryption algorithm using AES on edge computing devices.
Comput. Electron. Agric.
Mohammad Ashik Alahe, Young Chang, James Kemeshi, Kwanghee Won, Xufei Yang, Lin Wei
2025 — conf
Structure- and Semantic-based Rationale Distillation: Table and Chart Question Answering in Scientific Documents.
RACS
Dongyoun Kim, Wonseok Heo, Jee-Hyong Lee, Kwanghee Won
2024 — conf
A Novel Dataset for Flood Detection Robust to Seasonal Changes in Satellite Imagery.
RACS
Youngsun Jang, Dongyoun Kim, Chulwoo Pack, Kwanghee Won
2024 — conf
Comparative Analysis of Deep Learning-based Anomaly Detection Models for GPS Spoofing Detection.
RACS
Hasan Mirzakhaninafchi, Chulwoo Pack, Dongyoun Kim, Young Chang, Kwanghee Won
2024 J jnl
Cyber security in smart agriculture: Threat types, current status, and future trends.
Comput. Electron. Agric.
Mohammad Ashik Alahe, Lin Wei, Young Chang, Sainath Reddy Gummi, James Kemeshi, Xufei Yang, Kwanghee Won, Mazhar Sher
2024 Misc conf
Multimodal Fusion of Heterogeneous Representations for Anomaly Classification in Satellite Imagery.
SAC
Youngsun Jang, Maryam Moshrefizadeh, Abir Mohammad Hadi, Kwanghee Won, John Kim
2023 — conf
Crack Segmentation with Generative Deep Learning-Based Data Augmentation Approach.
RACS
Kwanghee Won, Mostafa Tazarv, Timothy M. Hansen
2023 — conf
Deep Reinforcement Learning Agent for Dynamic Pruning of Convolutional Layers.
RACS
Abir Mohammad Hadi, Youngsun Jang, Kwanghee Won
2023 — conf
FulltextAttention: Full-text Classification of Scientific Papers Using Combined Model of BiGRU and Bahdanau Attention.
RACS
Youngsun Jang, Hyung Do Choi, Kwanghee Won, Sung Y. Shin
2023 J jnl
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model.
CoRR
Babak Azad, Ahmed Abdalla, Kwanghee Won, Ali Mirzakhani Nafchi
2022 — conf
Deep learning models for multiple answers extraction and classification of scientific publications.
RACS
Youngsun Jang, Kwanghee Won, Hyung-Do Choi, Sung Shin
2022 — conf
Task dependent model complexity: shallow vs deep network.
RACS
Abir Mohammad Hadi, Kwanghee Won, Sung Shin
2021 — conf
Crack Detection and Location Estimation Using a Convolutional Neural Network.
IW-FCV
Mengling Ding, Kwanghee Won
2020 J jnl
Automated Transverse Crack Mapping System with Optical Sensors and Big Data Analytics.
Sensors
Kwanghee Won, Chungwook Sim
2020 — conf
Kernel-controlled DQN based CNN Pruning for Model Compression and Acceleration.
RACS
Romancha Khatri, Kwanghee Won
2020 — conf
Semantic Classification of EMF-related Literature using Deep Learning Models with Attention Mechanism.
RACS
Kwanghee Won, Youjeong Jang, Hyung-Do Choi, Sung Shin
2019 Misc conf
A robust and secure backup system for protecting malware.
SAC
Myungjoon Shon, Heejin Kim, Kicheol Park, Juw Won Park, Kwanghee Won, Jiman Hong
2019 — conf
Instance segmentation in urban scenes using inverse perspective mapping of 3D point clouds and 2D images.
RACS
Chungyup Lee, Soohyeon Choi, Jung-Yeop Kim, Kwanghee Won
2019 — conf
Preprocessed symmetric RSA authentication for wireless body area networks in space.
RACS
Sangwon Shin, Soohyeon Choi, Kwanghee Won, Sung Y. Shin
2018 — conf
Development of automated 3D knee bone segmentation with inhomogeneity correction for deformable approach in magnetic resonance imaging.
RACS
Dongyoun Kim, Jiyoung Lee, Joon Shik Yoon, Kwang Jae Lee, Kwanghee Won
2018 — conf
Development of vegetation mapping with deep convolutional neural network.
RACS
Sae-Han Suh, Ji-Eun Jhang, Kwanghee Won, Sung Y. Shin, Chang Oan Sung