IoT enabled Smart Monitoring of Coronavirus empowered with Fuzzy Inference System
Syyada Abeer Fatima, Naveed Hussain, Asma Balouch, Iqra Rustam, Muhammad Saleem, Muhammad Asif
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.