Retraction notice: Optimal block search mechanism using deep recurrent neural network for enabling the code-efficiency in HEVC

The publisher of the Journal of Engineering, Design and Technology wishes to retract the following article by Anilkumar Chandrashekhar Korishetti and Virendra S. Malemath (2021), ‘Optimal block search mechanism using deep recurrent neural network for enabling the code-efficiency in HEVC’, published in the Journal of Engineering, Design and Technology, Vol. ahead-of-print, No. ahead-of-print, Link to the cited article. Concerns were raised regarding the identity of the authors and the originality of the research; the authors were asked to provide details of their collaboration on this article and the data used to create it, but were unable to offer sufficient description of either; as a result the findings of the paper cannot be relied upon and the standard of the article does not meet that expected by the journal. The publisher of the journal sincerely apologises to the readers.

Publication Details

Journal
Journal of Engineering Design and Technology
Published
2025-11-10
DOI
https://doi.org/10.1108/jedt-11-2025-0633
Primary Topic
Video Coding and Compression Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Retraction notice: Optimal block search mechanism using deep recurrent neural network for enabling the code-efficiency in HEVC

Journal of Engineering Design and Technology
Video Coding and Compression Technologies
article

Retraction notice: Optimal block search mechanism using deep recurrent neural network for enabling the code-efficiency in HEVC

article en

Abstract

The publisher of the Journal of Engineering, Design and Technology wishes to retract the following article by Anilkumar Chandrashekhar Korishetti and Virendra S. Malemath (2021), ‘Optimal block search mechanism using deep recurrent neural network for enabling the code-efficiency in HEVC’, published in the Journal of Engineering, Design and Technology, Vol. ahead-of-print, No. ahead-of-print, Link to the cited article. Concerns were raised regarding the identity of the authors and the originality of the research; the authors were asked to provide details of their collaboration on this article and the data used to create it, but were unable to offer sufficient description of either; as a result the findings of the paper cannot be relied upon and the standard of the article does not meet that expected by the journal. The publisher of the journal sincerely apologises to the readers.

Journal of Engineering Design and Technology
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
Video Coding and Compression Technologies
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