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Seungro Lee
Seungro Lee
其他姓名이 승로
在 sogang.ac.kr 的电子邮件经过验证
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引用次数
引用次数
年份
Multiaxial fatigue life prediction of polychloroprene rubber (CR) reinforced with tungsten nano-particles based on semi-empirical and machine learning models
J Choi, L Quagliato, S Lee, J Shin, N Kim
International Journal of Fatigue 145, 106136, 2021
302021
A new approach to preform design in metal forging processes based on the convolution neural network
S Lee, L Quagliato, D Park, I Kwon, J Sun, N Kim
Applied Sciences 11 (17), 7948, 2021
182021
Machine learning-based models for the estimation of the energy consumption in metal forming processes
I Mirandola, GA Berti, R Caracciolo, S Lee, N Kim, L Quagliato
Metals 11 (5), 833, 2021
182021
Extreme gradient boosting-inspired process optimization algorithm for manufacturing engineering applications
S Lee, J Park, N Kim, T Lee, L Quagliato
Materials & Design 226, 111625, 2023
172023
A buckling instability prediction model for the reliable design of sheet metal panels based on an artificial intelligent self-learning algorithm
S Lee, L Quagliato, D Park, GA Berti, N Kim
Metals 11 (10), 1533, 2021
92021
A preform design approach for uniform strain distribution in forging processes based on convolutional neural network
S Lee, K Kim, N Kim
Journal of Manufacturing Science and Engineering 144 (12), 121004, 2022
82022
Gaussian process regression-driven deep drawing blank design method
S Lee, Y Lim, L Galdos, T Lee, L Quagliato
International Journal of Mechanical Sciences 265, 108898, 2024
42024
Using Convolutional Neural Network with Taguchi Parametric Optimization for Knee Segmentation from X‐Ray Images
YJ Kim, SR Lee, JY Choi, KG Kim
BioMed Research International 2021 (1), 5521009, 2021
42021
고압 다이캐스팅 공정에서 제품 결함을 사전 예측하기 위한 기계 학습 기반의 공정관리 방안 연구
이승로, 이승철, 한도석, 김낙수
한국주조공학회지 (주조) 41 (6), 521-527, 2021
2021
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