Search Results - Suk Ju

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  1. 1

    Multi-User Identification-Based Eye-Tracking Algorithm Using Position Estimation by Suk-Ju Kang

    Published in Sensors (2016-12-01)
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  2. 2

    Chemical Pleurodesis Using Extract in Gorham Disease Complicated with Chylothorax by Suk Ju Cho, Su Wan Kim

    Published in Acute and Critical Care (2018-05-01)
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  3. 3

    A Unified Framework for Super-Resolution via Clean Image Prior by Songju Na, Yoonchan Nam, Suk-Ju Kang

    Published in IEEE Access (2025-01-01)
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    Article


  4. 4

    Enhancing Stability in Training Conditional Generative Adversarial Networks via Selective Data Matching by Kyeongbo Kong, Kyunghun Kim, Suk-Ju Kang

    Published in IEEE Access (2024-01-01)
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  5. 5

    A Generative Adversarial Network-Based Image Denoiser Controlling Heterogeneous Losses by Sung In Cho, Jae Hyeon Park, Suk-Ju Kang

    Published in Sensors (2021-02-01)
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  6. 6

    Motion Recognition-Based Robot Arm Control System Using Head Mounted Display by Yeohun Yun, Seung Joon Lee, Suk-Ju Kang

    Published in IEEE Access (2020-01-01)
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  7. 7

    The Effect of Atypical Anti-psychotic Agents on Obesity and Glucose Metabolism by Sang Ah Lee, Suk Ju Cho, Jae Cheol Moon

    Published in Journal of Medicine and Life Science (2021-12-01)
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  8. 8

    Distribution Density-Aware Compensation for High-Resolution Stretchable Display by Sung-Hoon Jung, Jung-Hyun Kim, Suk-Ju Kang

    Published in IEEE Access (2022-01-01)
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  9. 9

    Frequency Domain-Based Super Resolution Using Two-Dimensional Structure Consistency for Ultra-High-Resolution Display by Yu Lim Seo, Suk-Ju Kang, Yeon-Kug Moon

    Published in Journal of Imaging (2024-10-01)
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    Article


  10. 10

    Super-Resolving Methodology for Noisy Unpaired Datasets by Sung-Jun Min, Young-Su Jo, Suk-Ju Kang

    Published in Sensors (2022-10-01)
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  11. 11

    Improving Gaze Tracking in Large Screens With Symmetric Gaze Angle Amplification and Optimization Technique by Joseph Kihoon Kim, Junho Park, Yeon-Kug Moon, Suk-Ju Kang

    Published in IEEE Access (2023-01-01)
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  12. 12

    Classification of Dead Cocoons Using Convolutional Neural Networks and Machine Learning Methods by Ahyeong Lee, Giyoung Kim, Suk-Ju Hong, Seong-Wan Kim, Ghiseok Kim

    Published in IEEE Access (2023-01-01)
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  13. 13

    Classification of Fresh and Frozen-Thawed Beef Using a Hyperspectral Imaging Sensor and Machine Learning by Seongmin Park, Suk-Ju Hong, Sungjay Kim, Jiwon Ryu, Seungwoo Roh, Ghiseok Kim

    Published in Agriculture (2023-04-01)
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    Article


  14. 14

    Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery by Suk-Ju Hong, Yunhyeok Han, Sang-Yeon Kim, Ah-Yeong Lee, Ghiseok Kim

    Published in Sensors (2019-04-01)
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  15. 15

    Correlation of Glypican-4 Level with Basal Active Glucagon-Like Peptide 1 Level in Patients with Type 2 Diabetes Mellitus by Sang Ah Lee, Gwanpyo Koh, Suk Ju Cho, So-Yeon Yoo, Sang Ouk Chin

    Published in Endocrinology and Metabolism (2016-09-01)
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  16. 16

    Photosensor-Based Latency Measurement System for Head-Mounted Displays by Min-Woo Seo, Song-Woo Choi, Sang-Lyn Lee, Eui-Yeol Oh, Jong-Sang Baek, Suk-Ju Kang

    Published in Sensors (2017-05-01)
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  17. 17

    Application of X-Ray Imaging and Convolutional Neural Networks in the Prediction of Tomato Seed Viability by Suk-Ju Hong, Seongmin Park, Chang-Hyup Lee, Sungjay Kim, Seung-Woo Roh, Nandita Irsaulul Nurhisna, Ghiseok Kim

    Published in IEEE Access (2023-01-01)
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  18. 18

    CNN-based object detection and growth estimation of plum fruit (Prunus mume) using RGB and depth imaging techniques by EungChan Kim, Suk-Ju Hong, Sang-Yeon Kim, Chang-Hyup Lee, Sungjay Kim, Hyuck-Joo Kim, Ghiseok Kim

    Published in Scientific Reports (2022-12-01)
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    Article


  19. 19

    Automatic Pest Counting from Pheromone Trap Images Using Deep Learning Object Detectors for <i>Matsucoccus thunbergianae</i> Monitoring by Suk-Ju Hong, Il Nam, Sang-Yeon Kim, Eungchan Kim, Chang-Hyup Lee, Sebeom Ahn, Il-Kwon Park, Ghiseok Kim

    Published in Insects (2021-04-01)
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  20. 20

    Moth Detection from Pheromone Trap Images Using Deep Learning Object Detectors by Suk-Ju Hong, Sang-Yeon Kim, Eungchan Kim, Chang-Hyup Lee, Jung-Sup Lee, Dong-Soo Lee, Jiwoong Bang, Ghiseok Kim

    Published in Agriculture (2020-05-01)
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    Article


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