Smart City Gnosys

Smart city article details

Title A Survey On Ai-Enabled Pandemic Prediction And Prevention: What We Can Learn From Covid
ID_Doc 5213
Authors Zhu Y.; Jiang R.; Ni Q.
Year 2022
Published Advanced Sciences and Technologies for Security Applications
DOI http://dx.doi.org/10.1007/978-3-031-04424-3_8
Abstract COVID-19 pandemic spread quickly in Wuhan, China in December 2019. This destructive infection spread quickly all over the planet, causing enormous misfortunes of individuals and property. All over the planet, researchers, clinicians and legislatures are continually looking for new technologies to against the COVID-19 pandemic. The use of artificial intelligence (AI) innovation gives a better approach to battle the pandemic. This paper sums up the exploration and utilization of AI in forecast and avoidance of COVID-19 pandemics, and the possibility of AI innovation used to fight against the pandemic in the situation of smart city. © 2022, Springer Nature Switzerland AG.
Author Keywords Artificial intelligence; COVID-19; Pandemic prediction; Pandemic prevention


Similar Articles


Id Similarity Authors Title Published
16423 View0.87Costa D.G.; Peixoto J.P.J.Covid-19 Pandemic: A Review Of Smart Cities Initiatives To Face New OutbreaksIET Smart Cities, 2, 2 (2020)
33115 View0.87Herath H.M.K.K.M.B.Internet-Assisted Data Intelligence For Pandemic Prediction: An Intelligent FrameworkStudies in Computational Intelligence, 994 (2022)
5126 View0.869Nadeem O.; Saeed M.S.; Tahir M.A.; Mumtaz R.A Survey Of Artificial Intelligence And Internet Of Things (Iot) Based Approaches Against Covid-19HONET 2020 - IEEE 17th International Conference on Smart Communities: Improving Quality of Life using ICT, IoT and AI (2020)
10420 View0.869Lauri C.; Shimpo F.; Sokołowski M.M.Artificial Intelligence And Robotics On The Frontlines Of The Pandemic Response: The Regulatory Models For Technology Adoption And The Development Of Resilient Organisations In Smart CitiesJournal of Ambient Intelligence and Humanized Computing, 14, 11 (2023)
3531 View0.868Ezugwu A.E.; Hashem I.A.T.; Oyelade O.N.; Almutari M.; Al-Garadi M.A.; Abdullahi I.N.; Otegbeye O.; Shukla A.K.; Chiroma H.A Novel Smart City-Based Framework On Perspectives For Application Of Machine Learning In Combating Covid-19BioMed Research International, 2021 (2021)
17985 View0.867Saeedvand S.; Jafari M.; Aghdasi H.S.; Baltes J.; Rahmani A.M.Deep Learning: A Taxonomy Of Modern Weapons To Combat Covid-19 Similar Pandemics In Smart CitiesConcurrency and Computation: Practice and Experience, 34, 27 (2022)
6944 View0.864Tripathi A.; Kaur P.; Suresh S.Ai In Fighting Covid-19: Pandemic ManagementProcedia Computer Science, 185 (2021)
31617 View0.863Rachmawati, R; Mei, ETW; Nurani, IW; Ghiffari, RA; Rohmah, AA; Sejati, MAInnovation In Coping With The Covid-19 Pandemic: The Best Practices From Five Smart Cities In IndonesiaSUSTAINABILITY, 13, 21 (2021)
26011 View0.862Costa D.G.Facing Pandemics Through Smart CitiesSmart Cities for Inclusive Innovation: Concepts, technologies and solutions (2025)
8485 View0.86Prajapati S.P.; Bhaumik R.; Kumar T.An Intelligent Abm-Based Framework For Developing Pandemic-Resilient Urban Spaces In Post-Covid Smart CitiesProcedia Computer Science, 218 (2022)