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Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization (Neural Computing and Applications, (2020), 32, 3, (665-680), 10.1007/s00521-018-3924-0)

  • Shui Hua Wang
  • , Khan Muhammad
  • , Jin Hong
  • , Arun Kumar Sangaiah
  • , Yu Dong Zhang*
  • *Corresponding author for this work
  • Henan Polytechnic University
  • Loughborough University
  • Sejong University
  • Sun Yat-Sen University
  • Vellore Institute of Technology

Research output: Contribution to journalComment/debate

Abstract

The Editor-in-Chief and the publisher have retracted this article. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation's findings the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article. The authors disagree with this retraction.

Original languageEnglish
Pages (from-to)9615
Number of pages1
JournalNeural Computing and Applications
Volume36
Issue number16
DOIs
Publication statusPublished - Jun 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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