A novel deep learning based underwater image de-noising and detecting suspicious object

S. Padmapriya, A. Umamageswari, S. Deepa, J. Faritha Banu

DOI: 10.3233/jifs-234002
Published: 2023-10-04
Container: Journal of Intelligent & Fuzzy Systems
Publisher: SAGE Publications
Open access: unknown

Credibility signals

serious concern Score 29/100 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. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. 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
serious concernRetraction Watch retraction: 1 retraction notice matched this DOI. 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
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.3233/jifs-234002,
  title = {A novel deep learning based underwater image de-noising and detecting suspicious object},
  author = {S. Padmapriya and A. Umamageswari and S. Deepa and J. Faritha Banu},
  year = {2023},
  journal = {Journal of Intelligent \&amp; Fuzzy Systems},
  doi = {10.3233/jifs-234002},
  url = {https://doi.org/10.3233/jifs-234002}
}

RIS

TY  - JOUR
TI  - A novel deep learning based underwater image de-noising and detecting suspicious object
AU  - S. Padmapriya
AU  - A. Umamageswari
AU  - S. Deepa
AU  - J. Faritha Banu
PY  - 2023
JO  - Journal of Intelligent &amp; Fuzzy Systems
DO  - 10.3233/jifs-234002
UR  - https://doi.org/10.3233/jifs-234002
ER  -

APA

Padmapriya, S., Umamageswari, A., Deepa, S., & Banu, J. F. (2023). A novel deep learning based underwater image de-noising and detecting suspicious object. Journal of Intelligent & Fuzzy Systems. https://doi.org/10.3233/jifs-234002

Source records

crossref · retrieved 2026-09-25T01:03:49.076Z