View in EDS

Retraction Note: Analysis of transmission line icing prediction based on CNN and data mining technology.

Saved in:
Bibliographic Details
Title: Retraction Note: Analysis of transmission line icing prediction based on CNN and data mining technology.
Authors: Li, Lixue1 (AUTHOR) lixueli1104@163.com, Luo, Da2 (AUTHOR), Yao, Wenhao2 (AUTHOR)
Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications. 2026 Suppl 1, Vol. 30, p715-715. 1p.
Subjects: Retraction of scholarly articles, Editorial policies, Data mining, Professional peer review, Scholarly publishing, Convolutional neural networks
Abstract: This article focuses on the retraction of a previously published paper due to concerns identified during a publisher's investigation. The investigation revealed issues including compromised editorial handling, peer review process irregularities, inappropriate or irrelevant references, and the article being out of scope for the journal or guest-edited issue. As a result, the publisher and Editor-in-Chief have withdrawn confidence in the article’s results and conclusions. The authors did not respond to correspondence regarding the retraction. [Extracted from the article]
Copyright of Soft Computing - A Fusion of Foundations, Methodologies & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 194776326
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Retraction Note: Analysis of transmission line icing prediction based on CNN and data mining technology.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Li%2C+Lixue%22">Li, Lixue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lixueli1104@163.com</i><br /><searchLink fieldCode="AR" term="%22Luo%2C+Da%22">Luo, Da</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yao%2C+Wenhao%22">Yao, Wenhao</searchLink><relatesTo>2</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Soft+Computing+-+A+Fusion+of+Foundations%2C+Methodologies+%26+Applications%22">Soft Computing - A Fusion of Foundations, Methodologies & Applications</searchLink>. 2026 Suppl 1, Vol. 30, p715-715. 1p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Retraction+of+scholarly+articles%22">Retraction of scholarly articles</searchLink><br /><searchLink fieldCode="DE" term="%22Editorial+policies%22">Editorial policies</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Professional+peer+review%22">Professional peer review</searchLink><br /><searchLink fieldCode="DE" term="%22Scholarly+publishing%22">Scholarly publishing</searchLink><br /><searchLink fieldCode="DE" term="%22Convolutional+neural+networks%22">Convolutional neural networks</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This article focuses on the retraction of a previously published paper due to concerns identified during a publisher's investigation. The investigation revealed issues including compromised editorial handling, peer review process irregularities, inappropriate or irrelevant references, and the article being out of scope for the journal or guest-edited issue. As a result, the publisher and Editor-in-Chief have withdrawn confidence in the article’s results and conclusions. The authors did not respond to correspondence regarding the retraction. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Soft Computing - A Fusion of Foundations, Methodologies & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194776326
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00500-026-11187-0
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: 715
    Subjects:
      – SubjectFull: Retraction of scholarly articles
        Type: general
      – SubjectFull: Editorial policies
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Professional peer review
        Type: general
      – SubjectFull: Scholarly publishing
        Type: general
      – SubjectFull: Convolutional neural networks
        Type: general
    Titles:
      – TitleFull: Retraction Note: Analysis of transmission line icing prediction based on CNN and data mining technology.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Li, Lixue
      – PersonEntity:
          Name:
            NameFull: Luo, Da
      – PersonEntity:
          Name:
            NameFull: Yao, Wenhao
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 02
              M: 06
              Text: 2026 Suppl 1
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 14327643
          Numbering:
            – Type: volume
              Value: 30
          Titles:
            – TitleFull: Soft Computing - A Fusion of Foundations, Methodologies & Applications
              Type: main
ResultId 1