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10.1002/ima.22562 http://scihub22266oqcxt.onion/10.1002/ima.22562 33821096!8014556!33821096     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Imaging+Syst+Technol 2021 ; 31 (2): 472-482 Nephropedia Template TP {{tp|p=33821096|t=2021. COVID-19 vs influenza viruses: A cockroach optimized deep neural network classification approach |pdf=|usr=}}{{33821096}} gab.com Text COVID-19 vs influenza viruses: A cockroach optimized deep neural network classification approach JO: Int J Imaging Syst Technol http://www.kidney.de/pget.php?&tw=1&pmid=33821096 #FOAvip Among Coronavirus, as with many other viruses, receptor interactions are an essential determinant of species specificity, virulence, and pathogenesis. The pathogenesis of the COVID-19 depends on the virus's ability to attach to and enter into a suitable human host cell. This paper presents a cockroach optimized deep neural network to detect COVID-19 and differentiate between COVID-19 and influenza types A, B, and C. The deep network architecture is inspired using a cockroach optimization algorithm to optimize the deep neural network hyper-parameters. COVID-19 sequences are obtained from repository 2019 Novel Coronavirus Resource, and influenza A, B, and C sub-dataset are obtained from other repositories. Five hundred ninety-four unique genomes sequences are used in the training and testing process with 99% overall accuracy for the classification model. Twit Text FOAVip COVID-19 vs influenza viruses: A cockroach optimized deep neural network classification approach ????Int J Imaging Syst Technol http://www.kidney.de/pget.php?&tw=1&pmid=33821096 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33821096 #FOAvip English Wikipedia <ref>{{Cite pmid|33821096}}</ref> COVID-19 vs influenza viruses: A cockroach optimized deep neural network classification approach #MMPMID33821096 El-Dosuky MA; Soliman M; Hassanien AE Int J Imaging Syst Technol 2021[Jun]; 31 (2): 472-482 PMID33821096show ga Among Coronavirus, as with many other viruses, receptor interactions are an essential determinant of species specificity, virulence, and pathogenesis. The pathogenesis of the COVID-19 depends on the virus's ability to attach to and enter into a suitable human host cell. This paper presents a cockroach optimized deep neural network to detect COVID-19 and differentiate between COVID-19 and influenza types A, B, and C. The deep network architecture is inspired using a cockroach optimization algorithm to optimize the deep neural network hyper-parameters. COVID-19 sequences are obtained from repository 2019 Novel Coronavirus Resource, and influenza A, B, and C sub-dataset are obtained from other repositories. Five hundred ninety-four unique genomes sequences are used in the training and testing process with 99% overall accuracy for the classification model. äCOVID-19 vs influenza viruses: A cockroach optimized deep neural netwo(epmc).pdf DeepDyve Pubget Overpricing