This paper is published in Volume-6, Issue-1, 2020
Area
Internet of Things
Author
Syyada Abeer Fatima, Naveed Hussain, Asma Balouch, Iqra Rustam, Muhammad Saleem, Muhammad Asif
Org/Univ
Nishtar Institute of Dentistry, Multan, Pakistan, Pakistan
Pub. Date
04 February, 2020
Paper ID
V6I1-1218
Publisher
Keywords
IoT, IoTSMCFIS, FIS, SARS-CoV, MERS-CoV, WHO

Citationsacebook

IEEE
Syyada Abeer Fatima, Naveed Hussain, Asma Balouch, Iqra Rustam, Muhammad Saleem, Muhammad Asif. IoT enabled Smart Monitoring of Coronavirus empowered with Fuzzy Inference System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Syyada Abeer Fatima, Naveed Hussain, Asma Balouch, Iqra Rustam, Muhammad Saleem, Muhammad Asif (2020). IoT enabled Smart Monitoring of Coronavirus empowered with Fuzzy Inference System. International Journal of Advance Research, Ideas and Innovations in Technology, 6(1) www.IJARIIT.com.

MLA
Syyada Abeer Fatima, Naveed Hussain, Asma Balouch, Iqra Rustam, Muhammad Saleem, Muhammad Asif. "IoT enabled Smart Monitoring of Coronavirus empowered with Fuzzy Inference System." International Journal of Advance Research, Ideas and Innovations in Technology 6.1 (2020). www.IJARIIT.com.

Abstract

Almost 3,000 cases of respiratory disease due to a new coronavirus from Wuhan, China were registered between 1 December 2019 and 26 January 2020. The diagnosis of coronavirus in a human being on a wide scale was so hectic. This proposed research implements an Internet of Things (IoT) approach enabled by Fuzzy Inference System (FIS) to intelligently and efficiently predict the coronavirus known as ' IoT enabled Smart Monitoring of Coronavirus empowered with Fuzzy Inference System (IoTSMCFIS) ' which smartly monitors and predicts either human is the victim of Coronavirus or not. For simulations, the IoTSMCFIS proposed system uses MATLAB 2019a and the proposed system indicates promising results regarding the simulations.
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