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  • [\'Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, 700064, India.\', \'Department of Electrical Engineering, Jadavpur University, 188, Raja S. C. Mallick Road, Kolkata, West Bengal, 700032, India.\', \'Department of Information Technology, Jadavpur University, Jadavpur University Second Campus, Plot No. 8, Salt Lake Bypass, LB Block, Sector III, Salt Lake City, Kolkata, West Bengal, 700106, India.\', \'Institute of IR 4.0, The National University of Malaysia, 43600, Bangi, Malaysia. ahmadian.hosseini@gmail.com.\', \'Department of Mathematics, Near East University, Nicosia, TRNC, Mersin 10, Turkey. ahmadian.hosseini@gmail.com.\', \'Institute for Mathematical Research, Universiti Putra Malaysia (UPM), 43400, Selangor, Malaysia. ahmadian.hosseini@gmail.com.\', \'Department of Management and Technology, ICRIOS - The Invernizzi Centre for Research in Innovation, Organization, Strategy and Entrepreneurship, Bocconi University, Via Sarfatti, 25, Milan, MI, 20136, Italy. massimiliano.ferrara@unirc.it.\', \'Institute for Mathematical Research, Universiti Putra Malaysia (UPM), 43400, Selangor, Malaysia.\', \'Department of Computer Science and Engineering, Jadavpur University, 188, Raja S.C. Mallick Road, Kolkata, West Bengal, 700032, India.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1038/s41598-021-02731-z
?:doi
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  • Scientific reports
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  • 34911977
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  • 1.533
?:rankingScore_hIndex
  • 122
?:title
  • MRFGRO: a hybrid meta-heuristic feature selection method for screening COVID-19 using deep features.
?:type
?:year
  • 2021

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