View in EDS HTML Full Text PDF Full Text

Predictions-on-chip: model-based training and automated deployment of machine learning models at runtime: For multi-disciplinary design and operation of gas turbines.

Saved in:
Bibliographic Details
Title: Predictions-on-chip: model-based training and automated deployment of machine learning models at runtime: For multi-disciplinary design and operation of gas turbines.
Authors: Pilarski, Sebastian1, sebastian.pilarski@mail.mcgill.ca, Staniszewski, Martin2, Bryan, Matthew3, Villeneuve, Frederic4, Varró, Dániel1
Source: Software & Systems Modeling; Jun2021, Vol. 20 Issue 3, p685-709, 25p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 150936264
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predictions-on-chip: model-based training and automated deployment of machine learning models at runtime: For multi-disciplinary design and operation of gas turbines.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Pilarski%2C+Sebastian%22">Pilarski, Sebastian</searchLink><relatesTo>1</relatesTo>, <i>sebastian.pilarski@mail.mcgill.ca</i><br /><searchLink fieldCode="AU" term="%22Staniszewski%2C+Martin%22">Staniszewski, Martin</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Bryan%2C+Matthew%22">Bryan, Matthew</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Villeneuve%2C+Frederic%22">Villeneuve, Frederic</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Varró%2C+Dániel%22">Varró, Dániel</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Software+%26+Systems+Modeling%22">Software & Systems Modeling</searchLink>; Jun2021, Vol. 20 Issue 3, p685-709, 25p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=150936264
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10270-020-00856-9
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 685
    Titles:
      – TitleFull: Predictions-on-chip: model-based training and automated deployment of machine learning models at runtime: For multi-disciplinary design and operation of gas turbines.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Pilarski, Sebastian
      – PersonEntity:
          Name:
            NameFull: Staniszewski, Martin
      – PersonEntity:
          Name:
            NameFull: Bryan, Matthew
      – PersonEntity:
          Name:
            NameFull: Villeneuve, Frederic
      – PersonEntity:
          Name:
            NameFull: Varró, Dániel
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 16191366
          Numbering:
            – Type: volume
              Value: 20
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Software & Systems Modeling
              Type: main
ResultId 1