Machine Learning Based Activity Learning for Behavioral Contexts in Internet of Things (IoT)
Author:
Publisher
Pleiades Publishing Ltd
Subject
Software
Link
http://link.springer.com/content/pdf/10.1134/S0361768820080204.pdf
Reference39 articles.
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2. Philipose, M., Fishkin, K. P., Perkowitz, M., Patterson, D.J., Fox, D., Kautz, H., and Hahnel, D., Inferring activities from interactions with objects, IEEE Pervasive Comput., 2004, vol. 3, no. 4, pp. 50–57.
3. Muhammad Safyan, Zia Ul-Qayyum, Sohail Sarwar, Muddesar Iqbal, and Mehtab Ahmed, Context-aware personalized activity modeling in concurrent environment, Proc. 10th Int. Conf. on Internet of Things (iThings-17), Exeter, 2017, pp. 977–982.
4. Fernández-Caballero, A., Human activity monitoring by local and global finite state machines, Expert Syst. Appl., 2012, vol. 39, no. 8, pp. 6982–6993.
5. Chervyakov, N., Babenko, M., Tchernykh, A., Kucherov, N., Miranda-López, V., and Cortés-Mendoza, J.M., AR-RRNS: configurable reliable distributed data storage systems for Internet of Things to ensure security, Future Gener. Comput. Syst., 2019, vol. 92, pp. 1080–1092.
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