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Toward automated instructor pilots in legacy Air Force systems: Physiology-based flight difficulty classification via machine learning.

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Title: Toward automated instructor pilots in legacy Air Force systems: Physiology-based flight difficulty classification via machine learning.
Authors: Caballero, William N.1, william.caballero@us.af.mil, Gaw, Nathan2, nathan.gaw@afit.edu, Jenkins, Phillip R.2, phillip.jenkins@afit.edu, Johnstone, Chancellor1,2, chancellor.johnstone@afit.edu
Source: Expert Systems with Applications; Nov2023, Vol. 231, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 169876204
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=169876204
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.eswa.2023.120711
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      – Code: eng
        Text: English
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      – TitleFull: Toward automated instructor pilots in legacy Air Force systems: Physiology-based flight difficulty classification via machine learning.
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            NameFull: Caballero, William N.
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            NameFull: Gaw, Nathan
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            NameFull: Jenkins, Phillip R.
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              Text: Nov2023
              Type: published
              Y: 2023
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              Value: 231
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            – TitleFull: Expert Systems with Applications
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