An energy efficient and secure model using chaotic levy flight deep Q-learning in healthcare system-Reference-Cited by-同舟云学术

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An energy efficient and secure model using chaotic levy flight deep Q-learning in healthcare system

Published:2023-09 Issue: Volume:39 Page:100894
ISSN:2210-5379
Container-title:Sustainable Computing: Informatics and Systems
language:en
Short-container-title:Sustainable Computing: Informatics and Systems

Author:

Gowri V.,Baranidharan B.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science

Reference25 articles.

1. Efficient load balancing algorithm for task preprocessing in fog computing environment;Manju,2019

2. COMITMENT: a fog computing trust management approach;Al-Khafajiy;J. Parallel Distrib. Comput.,2020

3. Improving fog computing performance via fog-2-fog collaboration;Al-Khafajiy;Future Gener. Comput. Syst.,2019

4. Reliable scheduling and load balancing for requests in cloud-fog computing;Alqahtani;Peer-to-Peer Netw. Appl.,2021

5. Utilization and load balancing in fog servers for health applications;Khattak;EURASIP J. Wirel. Commun. Netw.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Security and Privacy in Cloud-Based Medical Data Systems using AES Cryptography and Digital Envelopes;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

2. MCWOA Scheduler: Modified Chimp-Whale Optimization Algorithm for Task Scheduling in Cloud Computing;Computers, Materials & Continua;2024

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