An empirical study on social contact tracing of COVID-19 from a classification perspective
Yazarlar (4)
Mohammad Gouse Galety
Catholic University İn Erbil, Irak
Dr. Öğr. Üyesi Elham Tahsın Yasın YASIN Lebanese French University, Irak
Abdellah Behri Awol
Werabe University, Etiyopya
Lubab Talib
Lebanese French University, Irak
Makale Türü Özgün Makale (ESCI dergilerinde yayınlanan tam makale)
Dergi Adı International Journal of Computer Applications in Technology
Dergi ISSN 0952-8091 Dergi Bilgileri (2021)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 01-2021
Kabul Tarihi Yayınlanma Tarihi 01-01-2021
Cilt / Sayı / Sayfa 66 / 3 / 303–308 DOI 10.1504/IJCAT.2021.120455
Makale Linki https://doi.org/10.1504/ijcat.2021.120455
UAK Araştırma Alanları
Bilgi Güvenliği ve Kriptoloji Görüntü İşleme Yapay Zeka
Özet
The COVID-19 is a pandemic and irresistible one without the antibody and cure. This issue needs preventive controls through the creation of awareness and implementation of the contact tracing process. This device has its usage to lessen the infections with the information described at the infectious disease and reduce the spreadsheet of infections and inflamed human beings. In contrast, social media networking is a superb knowledge set of nowadays market coverage of maximum sociology of the planet to see, analyse and interpret. AI has been used to determine the infected COVID-19 and infers the good action and preventive measures to reduce the expansion of COVID-19. The authors have derived the available data with its analysis and contract tracing through the usage of social media datasets.
Anahtar Kelimeler
COVID-19 | infectious | preventive controls | awareness | social media | contact tracing | artificial intelligence
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 1
Google Scholar 1
An empirical study on social contact tracing of COVID-19 from a classification perspective

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