SDS-YOLO: drone-based foreign object detection model for power lines using an enhanced YOLOv8n approach.

Sheng J, Wu S, Liu G, Ma X, Deng S, Xu H.

DOI: 10.1038/s41598-026-59200-8
Published: 2026-06-30
Container: Sci Rep
Publisher: Not recorded
Open access: no

Credibility signals

limited evidence Score 43/100 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
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. 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
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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:10.1038/s41598-026-59200-8,
  title = {SDS-YOLO: drone-based foreign object detection model for power lines using an enhanced YOLOv8n approach.},
  author = {Sheng J and  Wu S and  Liu G and  Ma X and  Deng S and  Xu H.},
  year = {2026},
  journal = {Sci Rep},
  doi = {10.1038/s41598-026-59200-8},
  url = {https://doi.org/10.1038/s41598-026-59200-8}
}

RIS

TY  - JOUR
TI  - SDS-YOLO: drone-based foreign object detection model for power lines using an enhanced YOLOv8n approach.
AU  - Sheng J
AU  -  Wu S
AU  -  Liu G
AU  -  Ma X
AU  -  Deng S
AU  -  Xu H.
PY  - 2026
JO  - Sci Rep
DO  - 10.1038/s41598-026-59200-8
UR  - https://doi.org/10.1038/s41598-026-59200-8
ER  -

APA

J, S., S, W., G, L., X, M., S, D., & H., X. (2026). SDS-YOLO: drone-based foreign object detection model for power lines using an enhanced YOLOv8n approach.. Sci Rep. https://doi.org/10.1038/s41598-026-59200-8

Source records

europe-pmc · retrieved 2026-09-26T02:42:20.503Z