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Enhancing Efficiency And Security In Healthcare IoT: A Novel Approach For Fog Computing Resource Optimization Using TGA-RNN Cover

Enhancing Efficiency And Security In Healthcare IoT: A Novel Approach For Fog Computing Resource Optimization Using TGA-RNN

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 19 (2025): Issue 4 (December 2025)
By:  and    
Open Access
|Dec 2025
Authors

Authors

Rahul Jaywantrao Shimpi

rahul.shimpi@rediffmail.com

Research Scholar, Department of Electronics Engineering, Medicaps University, Indore, India

Vibha Tiwari

Professor, Department of Electronics Engineering, Medicaps University, Indore, India
DOI: https://doi.org/10.14313/jamris-2025-037 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 82 - 93
Submitted on: May 21, 2024
Accepted on: Jul 23, 2024
Published on: Dec 24, 2025
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Fog Computing,
Internet of Things,
Task Group Aggregation,
Recurrent Neural Network,
Chaotic Fruit Fly Optimization Algorithm
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2025 Rahul Jaywantrao Shimpi, Vibha Tiwari, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 19 (2025): Issue 4 (December 2025)
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