Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks

Ajay. P, Nagaraj. B, Ruihang Huang

DOI: 10.1155/2022/8013640
Published: 2022-08-11
Container: Journal of Control Science and Engineering
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2022/8013640,
  title = {Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks},
  author = {Ajay. P and Nagaraj. B and Ruihang Huang},
  year = {2022},
  journal = {Journal of Control Science and Engineering},
  doi = {10.1155/2022/8013640},
  url = {https://doi.org/10.1155/2022/8013640}
}

RIS

TY  - JOUR
TI  - Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks
AU  - Ajay. P
AU  - Nagaraj. B
AU  - Ruihang Huang
PY  - 2022
JO  - Journal of Control Science and Engineering
DO  - 10.1155/2022/8013640
UR  - https://doi.org/10.1155/2022/8013640
ER  -

APA

P, A., B, N., & Huang, R. (2022). Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks. Journal of Control Science and Engineering. https://doi.org/10.1155/2022/8013640

Source records

crossref · retrieved 2026-09-25T00:21:00.129Z