@article{1438568,
      author = {Mishra, Sushruta. and Mallick, Pradeep Kumar, and  Tripathy, Hrudaya Kumar. and Chae, Gyoo-Soo, and Mishra,  Bhabani Shankar Prasad.},
      url = {http://library.usi.edu/record/1438568},
      title = {Impact of AI and data science in response to coronavirus  pandemic /},
      abstract = {The book presents advanced AI based technologies in  dealing with COVID-19 outbreak and provides an in-depth  analysis of variety of COVID-19 datasets throughout globe.  It discusses recent artificial intelligence based  algorithms and models for data analysis of COVID-19  symptoms and its possible remedies. It provides a unique  opportunity to present the work on state-of-the-art of  modern artificial intelligence tools and technologies to  track and forecast COVID-19 cases. It indicates insights  and viewpoints from scholars regarding risk and resilience  analytics for policy making and operations of large-scale  systems on this epidemic. A snapshot of the latest  architectures, frameworks in machine learning and data  science are also highlighted to gather and aggregate data  records related to COVID-19 and to diagnose the virus. It  delivers significant research outcomes and inspiring new  real-world applications with respect to feasible AI based  solutions in COVID-19 outbreak. In addition, it discusses  strong preventive measures to control such pandemic.},
      doi = {https://doi.org/10.1007/978-981-16-2786-6},
      recid = {1438568},
      pages = {1 online resource (331 pages)},
}