Order Article Reprints

Jang Y-J, Kim M-S, Lee C-H, Choi J-H, Lee J-H, Lee S-H, Sung T-E. A Novel Approach on Deep Learning—Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs’ Effect over COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 2022; 19(11):6763. https://doi.org/10.3390/ijerph19116763

Jang, Yong-Ju, Min-Seung Kim, Chan-Ho Lee, Ji-Hye Choi, Jeong-Hee Lee, Sun-Hong Lee, and Tae-Eung Sung. 2022. "A Novel Approach on Deep Learning—Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs’ Effect over COVID-19 Pandemic" International Journal of Environmental Research and Public Health 19, no. 11: 6763. https://doi.org/10.3390/ijerph19116763

Jang, Y.-J., Kim, M.-S., Lee, C.-H., Choi, J.-H., Lee, J.-H., Lee, S.-H., & Sung, T.-E. (2022). A Novel Approach on Deep Learning—Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs’ Effect over COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 19(11), 6763. https://doi.org/10.3390/ijerph19116763