Dynamic link utilization empowered by reinforcement learning for adaptive storage allocation in MANET-Reference-Cited by-同舟云学术

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Dynamic link utilization empowered by reinforcement learning for adaptive storage allocation in MANET

Published:2023-10-20 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Anand R. P. Prem,Senthilkumar V.,Kumar Gokul,Rajendran A.,Rajaram A.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-09281-8.pdf

Reference19 articles.

1. Abbasi S, Choukolaei HA (2023) A systematic review of green supply chain network design literature focusing on carbon policy. Dec Anal J. https://doi.org/10.1016/j.dajour.2023.100189

2. Abbasi S, Daneshmand-Mehr M, Ghane Kanafi A (2022) Designing sustainable recovery network of end-of-life product during the COVID-19 pandemic: a real and applied case study. Discr Dyn Nat Soc 2022:1–21

3. Abbasi S, Sıcakyüz Ç, Erdebilli B (2023a) Designing the home healthcare supply chain during a health crisis. J Eng Res. https://doi.org/10.1016/j.jer.2023.100098

4. Abbasi S, Daneshmand-Mehr M, Ghane Kanafi A (2023b) Green closed-loop supply chain network design during the coronavirus (COVID-19) pandemic: a case study in the Iranian Automotive Industry. Environ Model Assess 28(1):69–103

5. Botta A, Canonico R, Navarro A, Stanco G, Ventre G (2023) Scalable reinforcement learning for dynamic overlay selection in SD-WANs. In: 2023 IFIP networking conference (IFIP networking). IEEE, pp 1–9

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