Retraction Notice: Identification of Facial Emotions Using Reinforcement model under Deep Learning

We take a zero tolerance to any situation where fraudulent research is published in our journals. As a result, this article has been retracted by the Publisher because it is suspected to be a nonsensical computer-generated publication with a number of tortured phrases and irrelevant references. Additional measures have been implemented to prevent these issues from reoccurring. EDP Sciences is extremely grateful to anonymous whistleblowers and the <ns0:ext-link ext-link-type="uri" ns4:href="https://www.irit.fr/%7EGuillaume.Cabanac/problematic-paper-screener">Problematic Paper Screener</ns0:ext-link> [1] for bringing this case to our attention for further investigations.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-02-18
DOI
https://doi.org/10.1051/itmconf/20235603006/pdf
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Retraction Notice: Identification of Facial Emotions Using Reinforcement model under Deep Learning

Mohammed Elnazer Abazar Elmamoon Ball Elsheep, Hemanta Kumar Bhuyan
Springer Link (Chiba Institute of Technology)
Emotion and Mood Recognition
article

Retraction Notice: Identification of Facial Emotions Using Reinforcement model under Deep Learning

Mohammed Elnazer Abazar Elmamoon Ball Elsheep, Hemanta Kumar Bhuyan
article en

Abstract

We take a zero tolerance to any situation where fraudulent research is published in our journals. As a result, this article has been retracted by the Publisher because it is suspected to be a nonsensical computer-generated publication with a number of tortured phrases and irrelevant references. Additional measures have been implemented to prevent these issues from reoccurring. EDP Sciences is extremely grateful to anonymous whistleblowers and the <ns0:ext-link ext-link-type="uri" ns4:href="https://www.irit.fr/%7EGuillaume.Cabanac/problematic-paper-screener">Problematic Paper Screener</ns0:ext-link> [1] for bringing this case to our attention for further investigations.

Springer Link (Chiba Institute of Technology)
Peace, Justice and strong institutions
Openalex Percentile: Top 53%
Emotion and Mood Recognition
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