Case Study: Spark GPU-Enabled Framework to Control COVID-19 Spread Using Cell-Phone Spatio-Temporal Data | Zendy

Hussien SH. Abdallah | Zendy; Mohamed H. Khafagy | Zendy; Fatma A. Omara | Zendy

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Case Study: Spark GPU-Enabled Framework to Control COVID-19 Spread Using Cell-Phone Spatio-Temporal Data

Author(s) -

Hussien SH. Abdallah,

Mohamed H. Khafagy,

Fatma A. Omara

Publication year - 2020

Publication title -

computers, materials and continua/computers, materials and continua (print)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.788

H-Index - 40

eISSN - 1546-2226

pISSN - 1546-2218

DOI - 10.32604/cmc.2020.011313

Subject(s) - computer science , mobile phone tracking , mobile phone , phone , global positioning system , beijing , cluster analysis , tracking (education) , spark (programming language) , geography , big data , centroid , covid-19 , data mining , data science , computer security , artificial intelligence , mobile computing , china , medicine , mobile technology , telecommunications , disease , psychology , infectious disease (medical specialty) , pedagogy , philosophy , gsm services , linguistics , archaeology , pathology , programming language

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