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Prediction of the mechanical behavior of Passenger airgag module by design factors based on deep neural network

Authors
김학성
Issue Date
4-Jul-2024
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/204964
Conference Name
ECCM21
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서울 공과대학 > 서울 기계공학부 > 2. Conference Papers

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Kim, Hak Sung
COLLEGE OF ENGINEERING (SCHOOL OF MECHANICAL ENGINEERING)
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