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  • [\'Faculty of Information Technology, Kermanshah University of Technology, Kermanshah, Iran.\', \'Institute for Intelligent Systems Research and Innovation, (IISRI), Deakin University, Geelong, Australia. Electronic address: mohammadjj.it@gmail.com.\', \'School of Science, Edith Cowan University, Joondalup, WA, Australia.\', \'Institute for Intelligent Systems Research and Innovation, (IISRI), Deakin University, Geelong, Australia.\', \'Department of Computer, Zanjan Branch, Islamic Azad University, Zanjan, Iran.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • S0010-4825(21)00788-510.1016/j.compbiomed.2021.104994
?:hasPublicationType
?:journal
  • Computers in biology and medicine
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?:pmid
?:pmid
  • 34749098
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?:rankingScore_SJR
  • 0.591
?:rankingScore_hIndex
  • 68
?:title
  • A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19).
?:type
?:year
  • 2021

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