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Sang Won Lee 0008
Person information
- affiliation: Sungkyunkwan University, College of Software, Suwon, Republic of Korea
- not to be confused with: Sang-Won Lee 0001
- not to be confused with: Sangwon Lee 0009
Other persons with the same name
- Sang Won Lee (aka: Sang-Won Lee, SangWon Lee, Sangwon Lee) — disambiguation page
- Sang-Won Lee 0001 (aka: Sang Won Lee 0001) — Sungkyunkwan University (SKKU), Suwon, Korea (and 3 more)
- Sang Won Lee 0002 — Virginia Tech, Blacksburg, VA, USA (and 2 more)
- Sang Won Lee 0004 — Kyungpook National University, Chilgok Hospital, Daegu, Republic of Korea
- Sang Won Lee 0005 — Columbia University, New York, NY, USA
- Sang-Won Lee 0007 (aka: Sang Won Lee 0007) — Pohang University of Science and Technology, Department of Electrical Engineering, South Korea
- Sangwon Lee 0009 (aka: Sang Won Lee 0009) — Sungkyunkwan University, Department of Interaction Science, Seoul, Korea
- Sang Won Lee 0010 — Korea Advanced Institute of Science and Technology (KAIST), Graduate School of Medical Science and Engineering, Daejeon, South Korea
- Sang-Won Lee 0011 (aka: Sang Won Lee 0011) — Kyungpook National University, School of Electronics Engineering, Daegu, Korea
- Sangwon Lee 0012 (aka: Sang Won Lee 0012) — Yonsei University, Department of Human Environment and Design, Seoul, Korea (and 1 more)
- Sangwon Lee 0013 (aka: Sang Won Lee 0013) — New Mexico State University, Department of Communication Studies, Las Cruces, NM, USA (and 1 more)
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2020 – today
- 2025
- [j2]Young Woon Choi, Jiho Lee, Yongho Lee, Suhyun Lee, Wonyoung Jeong, Daeyoung Lim, Sang Won Lee:
A vision-guided adaptive and optimized robotic fabric gripping system for garment manufacturing automation. Robotics Comput. Integr. Manuf. 92: 102874 (2025) - 2022
- [j1]Jiho Lee, Inwoong Noh, Jihyun Lee, Sang Won Lee:
Development of an Explainable Fault Diagnosis Framework Based on Sensor Data Imagification: A Case Study of the Robotic Spot-Welding Process. IEEE Trans. Ind. Informatics 18(10): 6895-6904 (2022)
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last updated on 2024-12-02 21:30 CET by the dblp team
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