A Large-Scale IoT-Based Scheme for Real-Time Prediction of Infectious Disease Symptoms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s11036-023-02111-z.pdf
Reference57 articles.
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2. Kong X, Wu Y, Wang H, Xia F (2022) Edge computing for internet of everything: a survey. IEEE Internet Things J. https://doi.org/10.1109/JIOT.2022.3200431
3. Tiwari D, Bhati S, Al-Turjman F, Nagpal B (2022) Pandemic coronavirus disease (Covid-19): World effects analysis and prediction using machine-learning techniques. Expert Syst 39(3):e12714. https://doi.org/10.1111/exsy.12714
4. Gonçalves V et al (2022) Feature importance analysis by nowcasting perspective to predict COVID-19. Mobile Netw Appl. https://doi.org/10.1007/s11036-022-01966-y
5. Kong X et al (2022) Deep reinforcement learning based energy efficient edge computing for internet of vehicles. IEEE Trans Industr Inf 18(9):6308–6316
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