Kwanghee Won

According to our database, Kwanghee Won authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Multimodal Fusion of Heterogeneous Representations for Anomaly Classification in Satellite Imagery.

Youngsun Jang, Maryam Moshrefizadeh, Abir Mohammad Hadi, Kwanghee Won, John Kim

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

2023

Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model.

Babak Azad, Ahmed Abdalla, Kwanghee Won, Ali Mirzakhani Nafchi

CoRR, 2023

Crack Segmentation with Generative Deep Learning-Based Data Augmentation Approach.

Kwanghee Won, Mostafa Tazarv, Timothy M. Hansen

Proceedings of the 2023 International Conference on Research in Adaptive and Convergent Systems, 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

Proceedings of the 2023 International Conference on Research in Adaptive and Convergent Systems, 2023

Deep Reinforcement Learning Agent for Dynamic Pruning of Convolutional Layers.

Abir Mohammad Hadi, Youngsun Jang, Kwanghee Won

Proceedings of the 2023 International Conference on Research in Adaptive and Convergent Systems, 2023

2022

Deep learning models for multiple answers extraction and classification of scientific publications.

Youngsun Jang, Kwanghee Won, Hyung-Do Choi, Sung Shin

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022

Task dependent model complexity: shallow vs deep network.

Abir Mohammad Hadi, Kwanghee Won, Sung Shin

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022

2021

Crack Detection and Location Estimation Using a Convolutional Neural Network.

Mengling Ding, Kwanghee Won

Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021

2020

Automated Transverse Crack Mapping System with Optical Sensors and Big Data Analytics.

Kwanghee Won, Chungwook Sim

Sensors, 2020

Semantic Classification of EMF-related Literature using Deep Learning Models with Attention Mechanism.

Kwanghee Won, Youjeong Jang, Hyung-Do Choi, Sung Shin

Proceedings of the RACS '20: International Conference on Research in Adaptive and Convergent Systems, 2020

Kernel-controlled DQN based CNN Pruning for Model Compression and Acceleration.

Romancha Khatri, Kwanghee Won

Proceedings of the RACS '20: International Conference on Research in Adaptive and Convergent Systems, 2020

2019

A robust and secure backup system for protecting malware.

Myungjoon Shon, Heejin Kim, Kicheol Park, Juw Won Park, Kwanghee Won, Jiman Hong

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Preprocessed symmetric RSA authentication for wireless body area networks in space.

Sangwon Shin, Soohyeon Choi, Kwanghee Won, Sung Y. Shin

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2019

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

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2019

2018

Development of vegetation mapping with deep convolutional neural network.

Sae-Han Suh, Ji-Eun Jhang, Kwanghee Won, Sung Y. Shin, Chang Oan Sung

Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018

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

Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018