View in EDS HTML Full Text PDF Full Text

A Hybrid ISSA-XGBoost Model for Predicting Wellbore Leakage.

Saved in:
Bibliographic Details
Title: A Hybrid ISSA-XGBoost Model for Predicting Wellbore Leakage.
Authors: Bai, Kai1,2,3 (AUTHOR) baikai@yangtzeu.edu.cn, Chen, Jiaqi1,2,3 (AUTHOR), Yin, Senlin3,4 (AUTHOR), Wei, Chaojie1,2,3,4 (AUTHOR), Yan, Yuzhou1,2,3 (AUTHOR), Liu, Junjie1,2,3 (AUTHOR)
Source: Sensors (14248220). Jun2026, Vol. 26 Issue 11, p3526. 26p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 194585504
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Hybrid ISSA-XGBoost Model for Predicting Wellbore Leakage.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Bai%2C+Kai%22">Bai, Kai</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> baikai@yangtzeu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Jiaqi%22">Chen, Jiaqi</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yin%2C+Senlin%22">Yin, Senlin</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wei%2C+Chaojie%22">Wei, Chaojie</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Yuzhou%22">Yan, Yuzhou</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Junjie%22">Liu, Junjie</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jun2026, Vol. 26 Issue 11, p3526. 26p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194585504
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/s26113526
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 26
        StartPage: 3526
    Titles:
      – TitleFull: A Hybrid ISSA-XGBoost Model for Predicting Wellbore Leakage.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Bai, Kai
      – PersonEntity:
          Name:
            NameFull: Chen, Jiaqi
      – PersonEntity:
          Name:
            NameFull: Yin, Senlin
      – PersonEntity:
          Name:
            NameFull: Wei, Chaojie
      – PersonEntity:
          Name:
            NameFull: Yan, Yuzhou
      – PersonEntity:
          Name:
            NameFull: Liu, Junjie
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 14248220
          Numbering:
            – Type: volume
              Value: 26
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Sensors (14248220)
              Type: main
ResultId 1