IoT-based COVID-19 detection using recalling-enhanced recurrent neural network optimized with golden eagle optimization algorithm.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 62; no. 3; pp. 925 - 941 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Mar2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=175566374&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175566374 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Mar2024 vid: 62 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 175566374 174218262 10.1007/s11517-023-02973-1 175566374 ppf: 925 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: IoT-based COVID-19 detection using recalling-enhanced recurrent neural network optimized with golden eagle optimization algorithm. aug: au: Karthick S Gomathi N affil: https://ror.org/050113w36 Department of Computer Science and Engineering, SRM Institute of Science and Technology, Delhi - NCR Campus, Ghaziabad, India sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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