Utilizing XGBoosts to correct arcjet contamination in magnetic field measurements from GOES missions.

Saved in:
Bibliographic Details
Title: Utilizing XGBoosts to correct arcjet contamination in magnetic field measurements from GOES missions.
Authors: Inceoglu F; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, United States.; National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Boulder, CO, United States., Loto'aniu PTM; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, United States.; National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Boulder, CO, United States.
Source: Frontiers in artificial intelligence [Front Artif Intell] 2025 Sep 16; Vol. 8, pp. 1628029. Date of Electronic Publication: 2025 Sep 16 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101770551 Publication Model: eCollection Cited Medium: Internet ISSN: 2624-8212 (Electronic) Linking ISSN: 26248212 NLM ISO Abbreviation: Front Artif Intell Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41036252
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Utilizing XGBoosts to correct arcjet contamination in magnetic field measurements from GOES missions.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Inceoglu+F%22">Inceoglu F</searchLink>; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, United States.; National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Boulder, CO, United States.<br /><searchLink fieldCode="AU" term="%22Loto'aniu+PTM%22">Loto'aniu PTM</searchLink>; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, United States.; National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Boulder, CO, United States.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101770551%22">Frontiers in artificial intelligence</searchLink> [Front Artif Intell] 2025 Sep 16; Vol. 8, pp. 1628029. <i>Date of Electronic Publication: </i>2025 Sep 16 (<i>Print Publication: </i>2025).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+SA%22">Frontiers Media SA </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101770551 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2624-8212 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226248212%22">26248212 </searchLink><i>NLM ISO Abbreviation: </i>Front Artif Intell <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41036252
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3389/frai.2025.1628029
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1628029
    Titles:
      – TitleFull: Utilizing XGBoosts to correct arcjet contamination in magnetic field measurements from GOES missions.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Inceoglu F
      – PersonEntity:
          Name:
            NameFull: Loto'aniu PTM
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 16
              M: 09
              Text: 2025 Sep 16
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2624-8212
          Numbering:
            – Type: volume
              Value: 8
          Titles:
            – TitleFull: Frontiers in artificial intelligence
              Type: main
ResultId 1