Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19.

Autor: Qaid, Talal S.^1,2 (AUTHOR), Mazaar, Hussein³ (AUTHOR), Al-Shamri, Mohammad Yahya H.^4,5 (AUTHOR), Alqahtani, Mohammed S.^6,7 (AUTHOR), Raweh, Abeer A.^1,2 (AUTHOR), Alakwaa, Wafaa³ (AUTHOR)

Publikováno v: Computational Intelligence & Neuroscience. 8/11/2021, p1-11. 11p.

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Deep sequence modelling for predicting COVID-19 mRNA vaccine degradation.

Autor: Qaid TS; Computer Science Department, College of Computer Science, King Khalid University, Abha, Saudi Arabia.; Faculty of Computer Science, Hodeidah University, Hodeidah, Yemen., Mazaar H; Computer Science Department, College of Science & Arts in Tanumah, King Khalid University, Abha, Saudi Arabia., Alqahtani MS; Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia., Raweh AA; Computer Science Department, College of Computer Science, King Khalid University, Abha, Saudi Arabia.; Faculty of Computer Science, Hodeidah University, Hodeidah, Yemen., Alakwaa W; Computer Science Department, College of Science & Arts in Tanumah, King Khalid University, Abha, Saudi Arabia.

Publikováno v: PeerJ. Computer science [PeerJ Comput Sci] 2021 Jun 22; Vol. 7, pp. e597. Date of Electronic Publication: 2021 Jun 22 (Print Publication: 2021).