APA (7th ed.) Citation

Ghayvat, H., Awais, M., Gope, P., Pandya, S., & Majumdar, S. (2021). ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa (COUNTERACT): A system of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence. Sustainable cities and society, 69, 102798. https://doi.org/10.1016/j.scs.2021.102798

Chicago Style (17th ed.) Citation

Ghayvat, Hemant, Muhammad Awais, Prosanta Gope, Sharnil Pandya, and Shubhankar Majumdar. "ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa (COUNTERACT): A System of Identifying COVID-19 Infectious and Hazardous Sites, Detecting Disease Outbreaks Based on the Internet of Things, Edge Computing, and Artificial Intelligence." Sustainable Cities and Society 69 (2021): 102798. https://doi.org/10.1016/j.scs.2021.102798.

MLA (9th ed.) Citation

Ghayvat, Hemant, et al. "ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa (COUNTERACT): A System of Identifying COVID-19 Infectious and Hazardous Sites, Detecting Disease Outbreaks Based on the Internet of Things, Edge Computing, and Artificial Intelligence." Sustainable Cities and Society, vol. 69, 2021, p. 102798, https://doi.org/10.1016/j.scs.2021.102798.