Design and development of hybrid optimization enabled deep learning model for COVID-19 detection with comparative analysis with DCNN, BIAT-GRU, XGBoost-Reference-Cited by-同舟云学术

Design and development of hybrid optimization enabled deep learning model for COVID-19 detection with comparative analysis with DCNN, BIAT-GRU, XGBoost

Published:2022-11 Issue: Volume:150 Page:106123
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Dar Jawad Ahmad^ORCID,Srivastava Kamal Kr,Ahmed Lone Sajaad^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference38 articles.

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5. Non-contact monitoring and classification of breathing pattern for the supervision of people infected by COVID-19;Purnomo;Sensors,2021

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