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Kwanghee Won
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2020 – today
- 2024
- [j2]Mohammad Ashik Alahe, Lin Wei, Young Chang, Sainath Reddy Gummi, James Kemeshi, Xufei Yang, Kwanghee Won, Mazhar Sher:
Cyber security in smart agriculture: Threat types, current status, and future trends. Comput. Electron. Agric. 226: 109401 (2024) - [c14]Youngsun Jang, Maryam Moshrefizadeh, Abir Mohammad Hadi, Kwanghee Won, John Kim:
Multimodal Fusion of Heterogeneous Representations for Anomaly Classification in Satellite Imagery. SAC 2024: 1056-1058 - 2023
- [c13]Youngsun Jang, Hyung Do Choi, Kwanghee Won, Sung Y. Shin:
FulltextAttention: Full-text Classification of Scientific Papers Using Combined Model of BiGRU and Bahdanau Attention. RACS 2023: 26:1-26:6 - [c12]Abir Mohammad Hadi, Youngsun Jang, Kwanghee Won:
Deep Reinforcement Learning Agent for Dynamic Pruning of Convolutional Layers. RACS 2023: 33:1-33:6 - [c11]Kwanghee Won, Mostafa Tazarv, Timothy M. Hansen:
Crack Segmentation with Generative Deep Learning-Based Data Augmentation Approach. RACS 2023: 34:1-34:5 - [i1]Babak Azad, Ahmed Abdalla, Kwanghee Won, Ali Mirzakhani Nafchi:
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model. CoRR abs/2308.03670 (2023) - 2022
- [c10]Abir Mohammad Hadi, Kwanghee Won, Sung Shin:
Task dependent model complexity: shallow vs deep network. RACS 2022: 107-111 - [c9]Youngsun Jang, Kwanghee Won, Hyung-Do Choi, Sung Shin:
Deep learning models for multiple answers extraction and classification of scientific publications. RACS 2022: 185-190 - 2021
- [c8]Mengling Ding, Kwanghee Won:
Crack Detection and Location Estimation Using a Convolutional Neural Network. IW-FCV 2021: 184-188 - 2020
- [j1]Kwanghee Won, Chungwook Sim:
Automated Transverse Crack Mapping System with Optical Sensors and Big Data Analytics. Sensors 20(7): 1838 (2020) - [c7]Romancha Khatri, Kwanghee Won:
Kernel-controlled DQN based CNN Pruning for Model Compression and Acceleration. RACS 2020: 36-41 - [c6]Kwanghee Won, Youjeong Jang, Hyung-Do Choi, Sung Shin:
Semantic Classification of EMF-related Literature using Deep Learning Models with Attention Mechanism. RACS 2020: 42-46
2010 – 2019
- 2019
- [c5]Chungyup Lee, Soohyeon Choi, Jung-Yeop Kim, Kwanghee Won:
Instance segmentation in urban scenes using inverse perspective mapping of 3D point clouds and 2D images. RACS 2019: 147-152 - [c4]Sangwon Shin, Soohyeon Choi, Kwanghee Won, Sung Y. Shin:
Preprocessed symmetric RSA authentication for wireless body area networks in space. RACS 2019: 230-235 - [c3]Myungjoon Shon, Heejin Kim, Kicheol Park, Juw Won Park, Kwanghee Won, Jiman Hong:
A robust and secure backup system for protecting malware. SAC 2019: 1432-1437 - 2018
- [c2]Sae-Han Suh, Ji-Eun Jhang, Kwanghee Won, Sung Y. Shin, Chang Oan Sung:
Development of vegetation mapping with deep convolutional neural network. RACS 2018: 53-58 - [c1]Dongyoun Kim, Jiyoung Lee, Joon Shik Yoon, Kwang Jae Lee, Kwanghee Won:
Development of automated 3D knee bone segmentation with inhomogeneity correction for deformable approach in magnetic resonance imaging. RACS 2018: 285-290
Coauthor Index
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last updated on 2024-10-04 20:59 CEST by the dblp team
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