Author:
Balamurugan A. G.,Pushpakumar R.,Selvakumari S.,Pradeep Kumar S.
Publisher
Springer International Publishing
Reference18 articles.
1. S. Pradeep Kumar, R. Pushpakumar, S. Selvakuamari, Deep learning- enabled smart safety precautions and Measures in public gathering places for COVID-19 using IoT, in Machine Learning Paradigm for Internet of Things Applications (Willey Publication, 2022)
2. S. Pradeep Kumar, K. Jayanthi, S. Selvakuamari, Smart IoT-Enabled Traffic Signs Recognizing with High Accuracy (TSR-HA) using deep learning, in Machine Learning Paradigm for Internet of Things Applications (Willey Publication, 2022)
3. Y. Yang, X. Wang, Z. Ning, J.J.P.C. Rodrigues, X. Jiang, Y. Guo, Edge learning for internet of medical things and its COVID-19 applications: A distributed 3C framework, IEEE Internet Things Magazine, to be published
4. H. Lin, S. Garg, J. Hu, X. Wang, M.J. Piran, M.S. Hossain, Privacy-enhanced data fusion for COVID-19 applications in intelligent internet of medical things. IEEE Internet Things J. 8(21), 15683–15693 (2020). https://doi.org/10.1109/JIOT.2020.3033129
5. M.Z. Alom et al., A state-of-the-art survey on deep learning theory and architectures. Electronics 8(3), 292 (2019). https://doi.org/10.3390/electronics8030292