Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19-Reference-Cited by-同舟云学术

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Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19

Published:2023-04 Issue: Volume:98 Page:104819
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Ashwin M,Alqahtani Abdulrahman Saad,Mubarakali Azath

Funder

Deanship of Scientific Research, King Khalid University

King Khalid University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference32 articles.

1. Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for covid-19;Shi;IEEE Rev. Biomed. Eng.,2020

2. Maghdid H.S., Ghafoor K.Z., Sadiq A.S., Curran K., Rabie K. A novel AI-enabled framework to diagnose coronavirus Covid 19 using smartphone embedded sensors: design study. arXiv preprint arXiv:200307434. 2020; Available from: https://arxiv.org/ftp/arxiv/papers/2003/2003.07434.pdf.

3. Bullock J., Pham K.H., Lam C.S.N., Luengo-Oroz M., et al. Mapping the landscape of artificial intelligence applications against COVID-19. arXiv preprint arXiv:200311336. 2020; Available from: https://arxiv.org/abs/2003.11336.

4. Maghdid H.S., Asaad A.T., Ghafoor K.Z., Sadiq A.S., Khan M.K. Diagnosing COVID-19 pneumonia from X-ray and CT images using deep learning and transfer learning algorithms. arXiv preprint arXiv:200400038. 2020;Available from: https://arxiv.org/abs/2004.00038.

5. Karim M.R., Döhmen T., Rebholz-Schuhmann D., Decker S., Cochez M., Beyan O. DeepCOVIDExplainer: explainable COVID-19 predictions based on chest X-ray images. arXiv. 2020; Available from: https://arxiv.org/abs/2004.04582.

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