@article{945370,
      author = {Hassanien, Aboul-Ella. and Dey, Nilanjan. and Elghamrawy,  Sally.},
      url = {http://library.usi.edu/record/945370},
      title = {Big Data Analytics and Artificial Intelligence Against  COVID-19: Innovation Vision and Approach /},
      abstract = {This book includes research articles and expository papers  on the applications of artificial intelligence and big data  analytics to battle the pandemic. In the context of  COVID-19, this book focuses on how big data analytic and  artificial intelligence help fight COVID-19. The book is  divided into four parts. The first part discusses the  forecasting and visualization of the COVID-19 data. The  second part describes applications of artificial  intelligence in the COVID-19 diagnosis of chest X-Ray  imaging. The third part discusses the insights of  artificial intelligence to stop spread of COVID-19, while  the last part presents deep learning and big data analytics  which help fight the COVID-19. .},
      doi = {https://doi.org/10.1007/978-3-030-55258-9},
      recid = {945370},
      pages = {1 online resource (XI, 307 pages) :},
}