Cargando…
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
Following the outbreak of the COVID-19 pandemic, the continued emergence of major variant viruses has caused enormous damage worldwide by generating social and economic ripple effects, and the importance of PHSMs (Public Health and Social Measures) is being highlighted to cope with this severe situa...
Autores principales: | Jang, Yong-Ju, Kim, Min-Seung, Lee, Chan-Ho, Choi, Ji-Hye, Lee, Jeong-Hee, Lee, Sun-Hong, Sung, Tae-Eung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180123/ https://www.ncbi.nlm.nih.gov/pubmed/35682349 http://dx.doi.org/10.3390/ijerph19116763 |
Ejemplares similares
-
Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe
por: Ibrahim, Mohamed R., et al.
Publicado: (2021) -
Proactive Fault Diagnosis of a Radiator: A Combination of Gaussian Mixture Model and LSTM Autoencoder
por: Lee, Jeong-Geun, et al.
Publicado: (2023) -
Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders
por: Wang, Qu, et al.
Publicado: (2019) -
An AutoEncoder and LSTM-Based Traffic Flow Prediction Method
por: Wei, Wangyang, et al.
Publicado: (2019) -
LSTM-Autoencoder for Vibration Anomaly Detection in Vertical Carousel Storage and Retrieval System (VCSRS)
por: Do, Jae Seok, et al.
Publicado: (2023)