An Improvised Machine Learning Approach for Wireless Sensor-Based Healthcare Applications-Reference-Cited by-同舟云学术

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An Improvised Machine Learning Approach for Wireless Sensor-Based Healthcare Applications

Published:2022 Issue: Volume: Page:613-625
ISSN:2367-4512
Container-title:Mobile Computing and Sustainable Informatics
language:
Short-container-title:

Author:

Bharathi V.,Vinoth Kumar C. N. S.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2069-1_42

Reference48 articles.

1. Shakya, S.: Intelligent and adaptive multi-objective optimization in WANET using bio inspired algorithms. J. Soft Comput. Paradigm (JSCP) 2(01), 13–23 (2020)

2. Raj, J.S.: A novel information processing in IoT based real time health care monitoring system. J. Electron. 2(03), 188–196 (2020)

3. Suma, V.: Community based network reconstruction for an evolutionary algorithm framework. J. Artif. Intell. 3(01), 53–61 (2021)

4. Celdrán, A.H., Pérez, M.G., Clemente, F.J.G., Pérez, G.M.: Sustainable securing of medical cyber-physical systems for the healthcare of the future. Sustain. Comput. Inf. Syst. 19, 138–146 (2018)

5. Çalhan, A., Cicioğlu, M., Ceylan, A.: Ehealth monitoring testbed with fuzzy based early warning score system. Comput. Methods Programs Biomed. 202, 106008 (2021). ISSN 0169–2607. https://doi.org/10.1016/j.cmpb.2021.106008

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