| 1 | A generalizable and interpretable deep learning model to improve the prediction accuracy of strain fields in grid composites Park, Donggeun; Jung, Jiyoung; Gu, Grace X.; Ryu, Seunghwa, MATERIALS & DESIGN, v.223, 2022-11 |
| 2 | Comments on "Stacking ensemble based deep neural networks modeling for effective epileptic seizure Tama, Bayu Adhi; Lee, Seungchul, EXPERT SYSTEMS WITH APPLICATIONS, v.184, 2021-12 |
| 3 | Deep neural network approach for fault detection and diagnosis during startup transient of liquid-propellant rocket engine Park, Soon-Young; Ahn, Jaemyung, ACTA ASTRONAUTICA, v.177, pp.714 - 730, 2020-12 |
| 4 | Deep residual neural network for predicting aerodynamic coefficient changes with ablation Lee, Dong Ho; Lee, DongUk; Han, Seoeum; Seo, Seongil; Lee, Bok Jik; Ahn, Jaemyung, AEROSPACE SCIENCE AND TECHNOLOGY, v.136, 2023-05 |
| 5 | Design of aluminum plate phononic crystals with wide bandgaps via free-form shape optimization using deep neural networks Demeke, Wabi; Jung, Jiyoung; Song, Hyunggwi; Ryu, Byungki; Jeon, Wonju; Ryu, Seunghwa, EXTREME MECHANICS LETTERS, v.65, 2023-12 |
| 6 | Learning-Based Discrete Hysteresis Classifier Using Wire Tension and Compensator for Flexible Endoscopic Surgery Robots Lee, Dong-Geol; Baek, Donghoon; Kim, Hansoul; Kim, JoonHwan; Kwon, Dong-Soo, INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.24, no.1, pp.83 - 94, 2023-01 |
| 7 | Machine learning-based optimization of segmented thermoelectric power generators using temperature-dependent performance properties Demeke, Wabi; Ryu, Byungki; Ryu, Seunghwa, APPLIED ENERGY, v.355, 2024-02 |
| 8 | 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 |
| 9 | The Effect of Natural Gas Substitution Ratio and Diesel Injection Timing on Accuracy of In-cylinder Pressure Prediction DNN Model from Vibration Signal in a CNG-Diesel Dual-Fuel Engine Kim, G; Park, Chansoo; Kim, Wooyeong; Jeon, J; Jeon, M; Bae, Choongsik, Transactions of the Korean Society of Automotive Engineers, v.29, no.10, pp.909 - 919, 2021-10 |
| 10 | The Effect of Training Conditions on the Accuracy of In-cylinder Pressure Prediction DNN Model Using Engine Block Vibration in a CNG-Diesel Dual Fuel Engine Park, Chansoo; Kim, Gyeonggon; Kim, Wooyeong; Jeon, Jeeyeon; Jeon, Miyeon; Bae, Choongsik, Transactions of the Korean Society of Automotive Engineers, v.29, no.8, pp.751 - 763, 2021 |
