Deep convolutional neural network-based Henry gas solubility optimization for disease prediction in data from wireless sensor network-Reference-Cited by-同舟云学术

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Deep convolutional neural network-based Henry gas solubility optimization for disease prediction in data from wireless sensor network

Published:2023-07-12 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Goswami Chandrashekhar,Senthil Ragavan V. K.,Ramesh Janjhyam Venkata Naga,Balajee J.,Ronald Doni A.,Saravanan T. R.,Siva Shankar S.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-08859-6.pdf

Reference35 articles.

1. Abdulkarem M, Samsudin K, Rokhani FZ, Rasid MFA (2020) Wireless sensor network for structural health monitoring: a contemporary review of technologies, challenges, and future direction. Struct Health Monit 19(3):693–735

2. Al-Hayani B, Ilhan H (2020) Efficient cooperative image transmission in one-way multi-hop sensor network. Int J Electr Eng Edu 57(4):321–339

3. Babu MV, Alzubi JA, Sekaran R, Patan R, Ramachandran M, Gupta D (2020) An Improved IDAF-FIT clustering based ASLPP-RR routing with secure data aggregation in wireless sensor network. Mobile Networks Appl 26(3):1059–1067

4. Cao W, Liu X, Ni J (2020) Parameter optimization of support vector regression using Henry gas solubility optimization algorithm. IEEE Access 8:88633–88642

5. Chae MJ, Yoo HS, Kim JY, Cho MY (2012) Development of a wireless sensor network system for suspension bridge health monitoring. Autom Constr 21:237–252

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