Fog-supported Low-latency Monitoring of System Disruptions in Industry 4.0: A Federated Learning Approach
- DOI
- 10.1145/3477272
- Published
- 2022-04-30
- Container
- ACM Transactions on Cyber-Physical Systems
- Publisher
- Association for Computing Machinery (ACM)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1145/3477272,
title = {Fog-supported Low-latency Monitoring of System Disruptions in Industry 4.0: A Federated Learning Approach},
author = {Bouziane Brik and Mourad Messaadia and M’hammed Sahnoun and Belgacem Bettayeb and Mohamed Amin Benatia},
year = {2022},
journal = {ACM Transactions on Cyber-Physical Systems},
doi = {10.1145/3477272},
url = {https://doi.org/10.1145/3477272}
}RIS
TY - JOUR TI - Fog-supported Low-latency Monitoring of System Disruptions in Industry 4.0: A Federated Learning Approach AU - Bouziane Brik AU - Mourad Messaadia AU - M’hammed Sahnoun AU - Belgacem Bettayeb AU - Mohamed Amin Benatia PY - 2022 JO - ACM Transactions on Cyber-Physical Systems DO - 10.1145/3477272 UR - https://doi.org/10.1145/3477272 ER -
APA
Brik, B., Messaadia, M., Sahnoun, M., Bettayeb, B., & Benatia, M. A. (2022). Fog-supported Low-latency Monitoring of System Disruptions in Industry 4.0: A Federated Learning Approach. ACM Transactions on Cyber-Physical Systems. https://doi.org/10.1145/3477272
Source records
- crossref · retrieved 2026-09-26T01:54:02.468Z