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Choi Y-W, Lee T-G, Yeom Y-T, Kwon S-D, Kim H-H, Lee K-Y, Kim H-J, Song S-J. Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network. Materials. 2023; 16(23):7406. https://doi.org/10.3390/ma16237406

Choi, Yeong-Won, Taek-Gyu Lee, Yun-Taek Yeom, Sung-Duk Kwon, Hun-Hee Kim, Kee-Young Lee, Hak-Joon Kim, and Sung-Jin Song. 2023. "Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network" Materials 16, no. 23: 7406. https://doi.org/10.3390/ma16237406

Choi, Y.-W., Lee, T.-G., Yeom, Y.-T., Kwon, S.-D., Kim, H.-H., Lee, K.-Y., Kim, H.-J., & Song, S.-J. (2023). Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network. Materials, 16(23), 7406. https://doi.org/10.3390/ma16237406