5 citations · 7 across the 4 of their papers we have counts for
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cs.LG2023
Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design Data
Seungyeon Shin, Namwoo Kang
The product design process in manufacturing involves iterative design modeling and analysis to achieve the target engineering performance, but such an iterative process is time con…
cs.LG2022★ 5 cited
Topology Optimization via Machine Learning and Deep Learning: A Review
Seungyeon Shin, Dongju Shin, Namwoo Kang
Topology optimization (TO) is a method of deriving an optimal design that satisfies a given load and boundary conditions within a design domain. This method enables effective desig…
cs.LG2022★ 2 cited
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress
Seungyeon Shin, Ah-hyeon Jin, Soyoung Yoo +4
For ensuring vehicle safety, the impact performance of wheels during wheel development must be ensured through a wheel impact test. However, manufacturing and testing a real wheel…