@article{1472210,
      recid = {1472210},
      author = {Machado, José Manuel, and Peixoto, Hugo,},
      title = {AI-assisted solutions for COVID-19 and biomedical  applications in smart cities : Third EAI International  Conference, AISCOVID-19 2022, Braga, Portugal, November  16-18, 2022, Proceedings /. International Conference on  AI-assisted Solutions for COVID-19 and Biometrical  Applications in Smart Cities},
      pages = {1 online resource (ix, 101 pages) :},
      note = {Includes author index.},
      abstract = {This book constitutes the refereed post-conference  proceedings of the Third International Conference on  AI-assisted Solutions for COVID-19 and Biometrical  Applications in Smart Cities, AISCOVID-19 2022, held in  November 2022 in Braga, Portugal. The 8 full papers of  AISCOVID-19 2022 were carefully selected from 21  submissions and present a comprehensive and up-to-date look  at the intersection of COVID-19, big data, machine  learning, deep learning, and healthcare. The theme of  AISCOVID-19 2022 was Healthcare effective and efficient  Solutions for COVID-19 that can be achieved using  Artificial Intelligence and Computer-Assisted paradigms.},
      url = {http://library.usi.edu/record/1472210},
      doi = {https://doi.org/10.1007/978-3-031-38204-8},
}