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Showing results 1 to 7 of 7

1
AI-based Design Automation: Generative Design + Generative Models

Kim, Seongsin; Lee, Sunghee; Kang, Namwoo, KSME-JSME Joint Symposium on Computational Mechanics & CAE, Computational Mechanics Division, The Japan Society of Mechanical Engineers, 2019-09-18

2
Deep Generative Design: Integration of Topology Optimization and Generative Models

Oh, Sangeun; Jung, Yongsu; Kim, Seongsin; Lee, Ikjin; Kang, Namwoo, JOURNAL OF MECHANICAL DESIGN, v.141, no.11, 2019-11

3
Deep Learning-based CAD/CAE Framework

Kang, Namwoo; Yoo, Soyoung; Lee, Sunghee; Kim, Seongsin; Hwang, Kwang Hyeon; Park, Jong Ho, Asian Congress of Structural and Multidisciplinary Optimization, ACSMO2020, Asian Society of Structural and Multidisciplinary Optimization, 2020-11-23

4
Deep learning-based inverse design for engineering systems: multidisciplinary design optimization of automotive brakes

Kim, Seongsin; Jwa, Minyoung; Lee, Soonwook; Park, Sunghoon; Kang, Namwoo, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.11, 2022-11

5
Effect of Robo-Taxi User Experience on User Acceptance: Field Test Data Analysis

Lee, Sunghee; Yoo, Soyoung; Kim, Seongsin; Kim, Eunji; Kang, Namwoo, TRANSPORTATION RESEARCH RECORD, v.2676, no.2, pp.350 - 366, 2022-02

6
Idle vehicle relocation strategy through deep learning for shared autonomous electric vehicle system optimization

Kim, Seongsin; Lee, Ungki; Lee, Ikjin; Kang, Namwoo, JOURNAL OF CLEANER PRODUCTION, v.333, 2022-01

7
Integrating deep learning into CAD/CAE system: generative design and evaluation of 3D conceptual wheel

Yoo, Soyoung; Lee, Sunghee; Kim, Seongsin; Hwang, Kwang Hyeon; Park, Jong Ho; Kang, Namwoo, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.64, no.4, pp.2725 - 2747, 2021-10

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