COVID-19 tracking tools or contact-tracing apps are getting developed at a rapid pace by differen... more COVID-19 tracking tools or contact-tracing apps are getting developed at a rapid pace by different governments in their respective countries. This study explores one such tool called Aarogya Setu , developed by the Government of India. It is a mobile application developed under the Health Ministry, as a part of the E-Governance initiative, to track and sensitize the citizens of India in a joint battle against COVID-19 spread. The study aims to understand various useful features of this tool and to present different concepts of data science applied within the application along with its importance in managing the ongoing pandemic. The App uses Bluetooth and GPS technologies to alert a user when they are nearby a COVID-19 infected person. The application uses various Data Science concepts such as Classification, Association Rule Mining, and Clustering to analyze COVID-19 spread in India. The study also shows potential upgradations in the application, which includes usage of Artificial ...
The sudden penetration of coronavirus has taken several countries in a devastating state worldwid... more The sudden penetration of coronavirus has taken several countries in a devastating state worldwide. The novelty of the COVID-19 virus and its wide range of symptoms have posed significant difficulties for the governments, authorities, and the medical community in dealing with this global outbreak. Various researchers have been focusing their studies on finding methods for this pandemic’s forecasting and diagnosis effectively. Evolutionary advancements in Artificial Intelligence, specifically in Deep Learning, have enabled it to become one of the most promising technologies for solving problems related to the current pandemic and other epidemics in the past. This study presents a Concept Mapping based Research Framework, abbreviated as DL-CoTAUM, to review the usage of Deep Learning Techniques for the management of the COVID-19 pandemic using multiple steps. Through the first step, different concepts around Deep Learning are presented. Multiple deep learning techniques using the basi...
COVID-19 tracking tools or contact-tracing apps are getting developed at a rapid pace by differen... more COVID-19 tracking tools or contact-tracing apps are getting developed at a rapid pace by different governments in their respective countries. This study explores one such tool called Aarogya Setu , developed by the Government of India. It is a mobile application developed under the Health Ministry, as a part of the E-Governance initiative, to track and sensitize the citizens of India in a joint battle against COVID-19 spread. The study aims to understand various useful features of this tool and to present different concepts of data science applied within the application along with its importance in managing the ongoing pandemic. The App uses Bluetooth and GPS technologies to alert a user when they are nearby a COVID-19 infected person. The application uses various Data Science concepts such as Classification, Association Rule Mining, and Clustering to analyze COVID-19 spread in India. The study also shows potential upgradations in the application, which includes usage of Artificial ...
The sudden penetration of coronavirus has taken several countries in a devastating state worldwid... more The sudden penetration of coronavirus has taken several countries in a devastating state worldwide. The novelty of the COVID-19 virus and its wide range of symptoms have posed significant difficulties for the governments, authorities, and the medical community in dealing with this global outbreak. Various researchers have been focusing their studies on finding methods for this pandemic’s forecasting and diagnosis effectively. Evolutionary advancements in Artificial Intelligence, specifically in Deep Learning, have enabled it to become one of the most promising technologies for solving problems related to the current pandemic and other epidemics in the past. This study presents a Concept Mapping based Research Framework, abbreviated as DL-CoTAUM, to review the usage of Deep Learning Techniques for the management of the COVID-19 pandemic using multiple steps. Through the first step, different concepts around Deep Learning are presented. Multiple deep learning techniques using the basi...
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