Browse "ME-Journal Papers(저널논문)" by Subject Machine learning
Showing results 9 to 16 of 16
| Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks Jung, Jiyoung; Park, Kundo; Cho, Byungjin; Park, Jinkyoo; Ryu, Seunghwa, JOURNAL OF INTELLIGENT MANUFACTURING, v.34, no.8, pp.3623 - 3636, 2023-12 |
| Powering performance analysis of full-scale ships under environmental disturbances Yoo, Byunghyun; Kim, Jinwhan, IFAC-PapersOnLine, v.50, no.1, pp.2323 - 2328, 2017-07 |
| Semiconductor Multilayer Nanometrology with Machine Learning Kwak, Hyunsoo; Kim, Jungwon, Nanomanufacturing and Metrology, v.6, no.1, 2023-12 |
| Small failure probability: principles, progress and perspectives Lee, Ikjin; Lee, Ungki; Ramu, Palaniappan; Yadav, Deepanshu; Bayrak, Gamze; Acar, Erdem, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.11, 2022-11 |
| Spring-loaded inverted pendulum modeling improves neural network estimation of ground reaction forces Kim, Bumjoon; Lim, Hyerim; Park, Sukyung, JOURNAL OF BIOMECHANICS, v.113, 2020-12 |
| Structural optimization of an arch-structured epoxy/rubber composite vibration isolator using deep Q-value neural network reinforcement learning Hong, Hyunsoo; Jeong, Kwang Il; On, Seung Yoon; Kim, Wonvin; Kim, Seong Su, COMPOSITE STRUCTURES, v.323, 2023-11 |
| Transfer learning for enhancing the homogenization-theory-based prediction of elasto-plastic response of particle/short fiber-reinforced composites Jung, Jiyoung; Kim, Yongtae; Park, Jinkyoo; Ryu, Seunghwa, COMPOSITE STRUCTURES, v.285, 2022-04 |
| Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps Sun, Kyung Ho; Huh, Hyunsuk; Tama, Bayu Adhi; Lee, Soo Young; Ha Jung, Joon; Lee, Seungchul, IEEE ACCESS, v.8, pp.129169 - 129179, 2020 |
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