Compressed feature vector-based effective object recognition model in detection of COVID-19

dc.contributor.authorChen, Chao
dc.contributor.authorMao, Jinhong
dc.contributor.authorLiu, Xinzhi
dc.contributor.authorTan, Yi
dc.contributor.authorAbaido, Ghada M
dc.contributor.authorAlsayed, Hamdy
dc.date.accessioned2022-05-11T06:28:22Z
dc.date.available2022-05-11T06:28:22Z
dc.date.copyright© 2021
dc.date.issued2022-02
dc.descriptionThis work is not available in the CUD collection. The version of the scholarly record of this work is published in Pattern Recognition Letters (2022), available online at: https://doi.org/10.1016/j.patrec.2021.12.016
dc.identifier.citationChen, C., Mao, J., Liu, X., Tan, Y., Abaido, G. M., & Alsayed, H. (2022). Compressed feature vector-based effective object recognition model in detection of COVID-19. Pattern Recognition Letters, 154, 60-67. https://doi.org/10.1016/j.patrec.2021.12.016
dc.identifier.urihttps://doi.org/10.1016/j.patrec.2021.12.016
dc.identifier.urihttp://hdl.handle.net/20.500.12519/609
dc.publisherElsevier B.V.
dc.titleCompressed feature vector-based effective object recognition model in detection of COVID-19
dc.typeArticle

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