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Hong-In Won
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2020 – today
- 2026
[j6]Jinsu Ha
, Byeong Hak Kim
, Dae Cheol Ko
, Hong-In Won
, Jin-Seok Jang
:
Automatic Generation Method for Urban Change Detection Dataset. IEEE Access 14: 16984-16994 (2026)- 2025
[j5]Han Chang Lee
, Byeong Hak Kim
, Jong Pil Yun
, Gyu Man Kim, Woojin Kim, Hong-In Won
:
An Industrial Add-On for Precision Die-Centering in Catheter Extrusion Using Visual Servoing. IEEE Access 13: 133837-133846 (2025)
[c2]Seung Hyun Jeong, Hong-In Won, Jin Yeong Son, Byeong Hak Kim:
Anomaly Cause Classification in the Extrusion Process Using Prompt-Based Segmentation and Convolutional Neural Networks. ICM 2025: 1-6
[c1]Seung Yeop Ha, Jun-Seok Yun, Seung-Kyum Choi, Min Su Kim, Sanga Lee, Hong-In Won, Jong Pil Yun:
Text Coherence Based Test-Time Adaptation for Collaborative Robot Segmentation. IRI 2025: 214-215- 2024
[j4]Sangheon Lee
, Min Young Kim
, Min Woo Woo
, Han Chang Lee
, Hong-In Won
, Seung Hyun Jeong
:
Predicting the Heading Angle of Resin During Extrusion Using Semantic Segmentation Based on Edge-Region Focal Loss. IEEE Trans. Instrum. Meas. 73: 1-15 (2024)- 2023
[j3]Ji-Wook Kim, Hong-In Won
, Dong-Yong Park, In-Jae Kim, Jin-Woo Lee, Kyung-Duk Kim, Yoojeong Noh
, Jin-Seok Jang
:
Study on Stochastic and Autoregressive Time Series Forecasting for Hydrogen Refueling Station. IEEE Access 11: 141598-141609 (2023)- 2022
[j2]Se-Kyung Park, Junkyu Park, Hong-In Won
, Seung-Hwan Choi, Chang-Hyun Kim, Suwoong Lee, Min Young Kim
:
Three-Dimensional Foot Position Estimation Based on Footprint Shadow Image Processing and Deep Learning for Smart Trampoline Fitness System. Sensors 22(18): 6922 (2022)- 2020
[j1]Hong-In Won
, Mehmet Ercan Altinsoy
:
Effect of Auditory Feedback on Tactile Intensity Perception in a Touchscreen Application. IEEE Trans. Haptics 13(2): 343-353 (2020)
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