Cargando…
A deep learning-based social distance monitoring framework for COVID-19
The ongoing COVID-19 corona virus outbreak has caused a global disaster with its deadly spreading. Due to the absence of effective remedial agents and the shortage of immunizations against the virus, population vulnerability increases. In the current situation, as there are no vaccines available; th...
Autores principales: | Ahmed, Imran, Ahmad, Misbah, Rodrigues, Joel J.P.C., Jeon, Gwanggil, Din, Sadia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603992/ https://www.ncbi.nlm.nih.gov/pubmed/33163330 http://dx.doi.org/10.1016/j.scs.2020.102571 |
Ejemplares similares
-
Social distance monitoring framework using deep learning architecture to control infection transmission of COVID-19 pandemic
por: Ahmed, Imran, et al.
Publicado: (2021) -
Integrating Digital Twins and Deep Learning for Medical Image Analysis in the era of COVID-19
por: Ahmed, Imran, et al.
Publicado: (2022) -
A sustainable advanced artificial intelligence-based framework for analysis of COVID-19 spread
por: Ahmad, Misbah, et al.
Publicado: (2022) -
A Smart-Anomaly-Detection System for Industrial Machines Based on Feature Autoencoder and Deep Learning
por: Ahmed, Imran, et al.
Publicado: (2023) -
A Framework for Pandemic Prediction Using Big Data Analytics
por: Ahmed, Imran, et al.
Publicado: (2021)