PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Computer Department, Damietta University, Damietta, Egypt.\', \'Electrical Engineering Department, Faculty of Engineering, Fayoum University, Fayoum, Egypt.\', \'State Key Laboratory for Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China.\', \'Department of Applied Informatics, Vytautas Magnus University, Kaunas, Lithuania. robertas.damasevicius@polsl.pl.\', \'Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt.\', \'School of Computer Science and Robotics, Tomsk Polytechnic University, Tomsk, Russia.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1038/s41598-020-71294-2
?:doi
?:hasPublicationType
?:journal
  • Scientific reports
is ?:pmid of
?:pmid
?:pmid
  • 32958781
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.533
?:rankingScore_hIndex
  • 122
?:title
  • COVID-19 image classification using deep features and fractional-order marine predators algorithm.
?:type
?:year
  • 2020

Metadata

Anon_0  
expand all