Research Article
IoT and AI for COVID-19 in Scalable Smart Cities
@INPROCEEDINGS{10.1007/978-3-030-76063-2_1, author={Adedoyin A. Hussain and Barakat A. Dawood and Fadi Al-Turjman}, title={IoT and AI for COVID-19 in Scalable Smart Cities}, proceedings={Science and Technologies for Smart Cities. 6th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2020, Proceedings}, proceedings_a={SMARTCITY}, year={2021}, month={5}, keywords={COVID-19 IoT Artificial intelligence Cloud computing Deep learning}, doi={10.1007/978-3-030-76063-2_1} }- Adedoyin A. Hussain
Barakat A. Dawood
Fadi Al-Turjman
Year: 2021
IoT and AI for COVID-19 in Scalable Smart Cities
SMARTCITY
Springer
DOI: 10.1007/978-3-030-76063-2_1
Abstract
COVID-19 which is also known as the novel coronavirus started from China. Motivated by continuous advancement and employments of the Artificial Intelligence (AI) and IoT in various regions, in this study we focus on their underlining deployment in responding to the virus. In this survey, we sum up the current region of AI applications in clinical associations while battling COVID-19. We moreover survey the component, challenges, and issues identified with these technologies. A review was made in requesting AI and IoT by then recognizing their applications in engaging the COVID-19. In like manner, emphasis has been made on a region that utilizes cloud computing in combating diverse similar diseases and the COVID-19 itself. The investigated procedures set forth drives clinical information examination with an exactness of up to 95%. We further end up with a point by point discussion about how AI utilization can be in an ideal situation in battling diverse diseases. This paper gives masters and specialists new bits of information in which AI and IoT can be utilized in improving the COVID-19 situation, and drive further assessments in ending the flare-up of the infection.
