Predicting Epidemic Outbreaks Using IOT, Artificial Intelligence and Cloud


All COVID-19 affected countries putting their efforts to deal with the outspread of this death-dealing disease in terms of infrastructure, economics, medical treatments and many other resources. Nowadays, there are number of coronavirus analysis and prediction models are available to make decisions and to informed, aware people. But, absence of necessary data, these models are not able to show precise values. Based on the datasets, reports and on account of the uniform nature of the coronavirus and variations in its behaviour from place-to-place, this study recommend ML as well as deep learning as worthwhile tool to model the outbreak. To come up with for the well-being of living society, we prefer to utilize the ML and deep learning models with the focus for understanding its everyday exponential behaviour in addition to the prediction graphs of further growth of the COVID-2019 over the world by utilizing the available facts and dataset.

The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care
Shitharth Selvarajan
Shitharth Selvarajan
Lecturer in Cyber Security

My research interests include Cyber Security, Blockchain, Critical Infrastructure & Systems, Network Security & Ethical Hacking.