Fusing heterogeneous sensor data using artificial intelligence hybrid models for dairy cattle health anomaly detection.

Nakrošis A, Ismayilov M, Shukurov G, Mani AA, Srinivas SR, Vėžys J, Ostaševičius V, Paulauskaitė A

DOI: 10.3168/jds.2026-28889
Published: 2026 Sep 21
Container: Journal of dairy science
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:10.3168/jds.2026-28889,
  title = {Fusing heterogeneous sensor data using artificial intelligence hybrid models for dairy cattle health anomaly detection.},
  author = {Nakrošis A and Ismayilov M and Shukurov G and Mani AA and Srinivas SR and Vėžys J and Ostaševičius V and Paulauskaitė A},
  year = {2026},
  journal = {Journal of dairy science},
  doi = {10.3168/jds.2026-28889},
  url = {https://doi.org/10.3168/jds.2026-28889}
}

RIS

TY  - JOUR
TI  - Fusing heterogeneous sensor data using artificial intelligence hybrid models for dairy cattle health anomaly detection.
AU  - Nakrošis A
AU  - Ismayilov M
AU  - Shukurov G
AU  - Mani AA
AU  - Srinivas SR
AU  - Vėžys J
AU  - Ostaševičius V
AU  - Paulauskaitė A
PY  - 2026
JO  - Journal of dairy science
DO  - 10.3168/jds.2026-28889
UR  - https://doi.org/10.3168/jds.2026-28889
ER  -

APA

A, N., M, I., G, S., AA, M., SR, S., J, V., V, O., & A, P. (2026). Fusing heterogeneous sensor data using artificial intelligence hybrid models for dairy cattle health anomaly detection.. Journal of dairy science. https://doi.org/10.3168/jds.2026-28889

Source records

pubmed · retrieved 2026-09-25T01:07:25.303Z
europe-pmc · retrieved 2026-09-25T01:07:25.318Z