Retraction: Utilizing multi-level convolutional neural networks to achieve refined modeling and visual analysis of college students’ mental health data

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Open source

DOI: 10.1371/journal.pone.0357524
Published: 2026-09-08
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0357524,
  title = {Retraction: Utilizing multi-level convolutional neural networks to achieve refined modeling and visual analysis of college students’ mental health data},
  author = {Unknown},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0357524},
  url = {https://doi.org/10.1371/journal.pone.0357524}
}

RIS

TY  - JOUR
TI  - Retraction: Utilizing multi-level convolutional neural networks to achieve refined modeling and visual analysis of college students’ mental health data
AU  - Unknown
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0357524
UR  - https://doi.org/10.1371/journal.pone.0357524
ER  -

APA

Unknown (2026). Retraction: Utilizing multi-level convolutional neural networks to achieve refined modeling and visual analysis of college students’ mental health data. PLOS One. https://doi.org/10.1371/journal.pone.0357524

Source records

crossref · retrieved 2026-09-24T23:53:06.360Z