Intelligent aquaculture system for pisciculture simulation using deep learning algorithm

Sherwin B. Sapin, Bryan A. Alibudbud, Paulo B. Molleno, Maureen B. Veluz, Jonardo R. Asor

Open source

DOI: 10.11591/ijeecs.v25.i1.pp561-568
Published: 2022-01-01
Container: Indonesian Journal of Electrical Engineering and Computer Science
Publisher: Institute of Advanced Engineering and Science
Open access: unknown

Credibility signals

uncertain Score 64/100 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
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
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:10.11591/ijeecs.v25.i1.pp561-568,
  title = {Intelligent aquaculture system for pisciculture simulation using deep learning algorithm},
  author = {Sherwin B. Sapin and Bryan A. Alibudbud and Paulo B. Molleno and Maureen B. Veluz and Jonardo R. Asor},
  year = {2022},
  journal = {Indonesian Journal of Electrical Engineering and Computer Science},
  doi = {10.11591/ijeecs.v25.i1.pp561-568},
  url = {https://doi.org/10.11591/ijeecs.v25.i1.pp561-568}
}

RIS

TY  - JOUR
TI  - Intelligent aquaculture system for pisciculture simulation using deep learning algorithm
AU  - Sherwin B. Sapin
AU  - Bryan A. Alibudbud
AU  - Paulo B. Molleno
AU  - Maureen B. Veluz
AU  - Jonardo R. Asor
PY  - 2022
JO  - Indonesian Journal of Electrical Engineering and Computer Science
DO  - 10.11591/ijeecs.v25.i1.pp561-568
UR  - https://doi.org/10.11591/ijeecs.v25.i1.pp561-568
ER  -

APA

Sapin, S. B., Alibudbud, B. A., Molleno, P. B., Veluz, M. B., & Asor, J. R. (2022). Intelligent aquaculture system for pisciculture simulation using deep learning algorithm. Indonesian Journal of Electrical Engineering and Computer Science. https://doi.org/10.11591/ijeecs.v25.i1.pp561-568

Source records

crossref · retrieved 2026-09-26T03:31:26.253Z