Art
J-GLOBAL ID:202102263286778251   Reference number:21A0993974

End-To-End Deep Learning Framework for Coronavirus (COVID-19) Detection and Monitoring

コロナウイルス(COVID-19)検出と監視のためのエンドツーエンド深層学習フレームワーク【JST・京大機械翻訳】
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Material:
Volume:Issue:Page: 1439  Publication year: 2020 
JST Material Number: U7178A  ISSN: 2079-9292  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Coronavirus (COVID-19) is a ne...
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Radio communication in general  ,  Computer networks  ,  Data protection  ,  Other information processing 
Reference (113):
  • Chowdhury, M.Z.; Jang, Y.M.; Hasan, M.K.; Shahjalal, M. Real-Time Healthcare Data Transmission for Remote Patient Monitoring in Patch-Based Hybrid OCC/BLE Networks. Sensors 2019, 19, 1208.
  • Kalid, N.; Zaidan, A.A.; Zaidan, B.B.; Salman, O.H.; Hashim, M.; Muzammil, H. Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related “Big Data” Using Body Sensors information and Communication Technology. J. Med. Syst. 2017, 42, 30.
  • Elhayatmy, G.; Dey, N.; Ashour, A.S. Internet of Things Based Wireless Body Area Network in Healthcare. Stud. Big Data 2018, 30, 3-20.
  • Manirabona, A.; Fourati, L.C. A 4-tiers architecture for mobile WBAN based health remote monitoring system. Wirel. Netw. 2017, 24, 2179-2190.
  • East, M.; Surveillance, G. Home Care for Patients with COVID-19 Presenting with Mild Symptoms and Management of Their Contacts; World Health Organization: Geneva, Switzerland, 2020; pp. 17-20.
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