期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2020
卷号：20
期号：10
页码：17-23
DOI：10.22937/IJCSNS.2020.20.10.3
出版社：International Journal of Computer Science and Network Security
摘要：COVID19 is a contagious virus which has caused a pandemic around the whole world and into lock downs. Humans are social creatures who have to interact with each other and the environment in variety of ways. In this research, flying ad-hoc networks (FANETs) with built-in electronic nose are proposed to detect either diseases or viruses from samples of human breathes. Combining the two technologies together will provide a safer way to detect COVID19 without human contact with possible infected person(s). FANETs may be used to cover wider area and be able to take samples of human breath and analyze them with their built-in electronic nose equipped with either bio-sensors or chemical sensors. Artificial Intelligence using Neural Networks is proposed to recognize 3 different categories, namely, the COVID 19, SARS, and Other. Furthermore, FANETs may be used to further transport collected samples of viruses for further analysis and detection centers for further processing and confirmation. It also provides some open areas where further research needs to be conducted.
