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Study Results from University of Zululand Update Understanding of Electronics (Internet of Things with Deep Learning Techniques for Pandemic Detection: A Comprehensive Review of Current Trends and Open Issues).
- Source :
- TB & Outbreaks Week; 7/26/2024, p774-774, 1p
- Publication Year :
- 2024
-
Abstract
- A study conducted by researchers at the University of Zululand explores the use of Internet of Things (IoT) technologies combined with deep learning (DL) techniques for pandemic detection. The study reviews 19 papers published between 2019 and 2024 that examine the contributions and unresolved issues of IoT-DL models in pandemic detection. The research provides a comprehensive overview of current trends and open issues in this field, making it a valuable resource for DL researchers and practitioners. The study emphasizes the potential of IoT and DL technologies in pandemic preparedness and control. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 15316432
- Database :
- Complementary Index
- Journal :
- TB & Outbreaks Week
- Publication Type :
- Periodical
- Accession number :
- 178511491