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. Int. J. Environ. Res. Public Health 2022, 19, 6763.
https://doi.org/10.3390/ijerph19116763
AMA Style
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
Chicago/Turabian Style
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
APA Style
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
