Deep Reinforcement Learning-Based Adaptive Scheduling for Wireless Time-Sensitive Networking.

Kim H, Kim YJ, Kim WT.

Open source

DOI: 10.3390/s24165281
Published: 2024-08-15
Container: Sensors (Basel)
Publisher: Not recorded
Open access: yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.3390/s24165281,
  title = {Deep Reinforcement Learning-Based Adaptive Scheduling for Wireless Time-Sensitive Networking.},
  author = {Kim H and  Kim YJ and  Kim WT.},
  year = {2024},
  journal = {Sensors (Basel)},
  doi = {10.3390/s24165281},
  url = {https://doi.org/10.3390/s24165281}
}

RIS

TY  - JOUR
TI  - Deep Reinforcement Learning-Based Adaptive Scheduling for Wireless Time-Sensitive Networking.
AU  - Kim H
AU  -  Kim YJ
AU  -  Kim WT.
PY  - 2024
JO  - Sensors (Basel)
DO  - 10.3390/s24165281
UR  - https://doi.org/10.3390/s24165281
ER  -

APA

H, K., YJ, K., & WT., K. (2024). Deep Reinforcement Learning-Based Adaptive Scheduling for Wireless Time-Sensitive Networking.. Sensors (Basel). https://doi.org/10.3390/s24165281

Source records

europe-pmc · retrieved 2026-09-26T00:05:42.441Z
doaj · retrieved 2026-09-26T00:05:42.456Z