Q-AVOA-net: A multi-domain, quantum-inspired feature-selection and deep-fuzzy framework for interpretable white blood cell classification
- DOI
- 10.1016/j.isci.2026.116507
- Published
- 2026-09
- Container
- iScience
- Publisher
- Elsevier BV
- 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.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.isci.2026.116507,
title = {Q-AVOA-net: A multi-domain, quantum-inspired feature-selection and deep-fuzzy framework for interpretable white blood cell classification},
author = {Omid Eslamifar and Mohammadreza Soltani and Seyed Mohammad Jalal Rastegar Fatemi},
year = {2026},
journal = {iScience},
doi = {10.1016/j.isci.2026.116507},
url = {https://doi.org/10.1016/j.isci.2026.116507}
}RIS
TY - JOUR TI - Q-AVOA-net: A multi-domain, quantum-inspired feature-selection and deep-fuzzy framework for interpretable white blood cell classification AU - Omid Eslamifar AU - Mohammadreza Soltani AU - Seyed Mohammad Jalal Rastegar Fatemi PY - 2026 JO - iScience DO - 10.1016/j.isci.2026.116507 UR - https://doi.org/10.1016/j.isci.2026.116507 ER -
APA
Eslamifar, O., Soltani, M., & Fatemi, S. M. J. R. (2026). Q-AVOA-net: A multi-domain, quantum-inspired feature-selection and deep-fuzzy framework for interpretable white blood cell classification. iScience. https://doi.org/10.1016/j.isci.2026.116507
Source records
- crossref · retrieved 2026-09-25T20:03:05.006Z