ForNet: classification of critical forest acoustic events using discriminative CNN representations and ensemble learning.
- DOI
- 10.1038/s41598-026-55380-5
- Published
- 2026 Jul 9
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-55380-5,
title = {ForNet: classification of critical forest acoustic events using discriminative CNN representations and ensemble learning.},
author = {Krishnamoorthy D and Sai VS and Vishal R and Benezeth Y},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-55380-5},
url = {https://doi.org/10.1038/s41598-026-55380-5}
}RIS
TY - JOUR TI - ForNet: classification of critical forest acoustic events using discriminative CNN representations and ensemble learning. AU - Krishnamoorthy D AU - Sai VS AU - Vishal R AU - Benezeth Y PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-55380-5 UR - https://doi.org/10.1038/s41598-026-55380-5 ER -
APA
D, K., VS, S., R, V., & Y, B. (2026). ForNet: classification of critical forest acoustic events using discriminative CNN representations and ensemble learning.. Scientific reports. https://doi.org/10.1038/s41598-026-55380-5
Source records
- pubmed · retrieved 2026-09-25T22:28:28.051Z