Zobrazit v EDS

Editorial: Cognitive Brain-Inspired Cyber-Physical Systems in Industrial Informatics.

Uloženo v:
Podrobná bibliografie
Název: Editorial: Cognitive Brain-Inspired Cyber-Physical Systems in Industrial Informatics.
Autoři: Sangaiah, Arun Kumar, Siarry, Patrick
Zdroj: Frontiers in Neurorobotics; 6/23/2022, Vol. 16, p1-2, 2p
Témata: CYBER physical systems, COGNITIVE computing, ARTIFICIAL intelligence, MEDICAL informatics, CEREBRAL infarction, CHILDHOOD epilepsy, SMART devices
Abstrakt: Cognitive cyber-physical systems (CCPSs) are witnessing a rapid transformation as an interdisciplinary technology that blends physical components and computing devices to enable AI-based solutions. Keywords: cognitive system; cyber physical system (CPS); industrial informatics; brain-inspired computation; cognitive cyber-physical systems EN cognitive system cyber physical system (CPS) industrial informatics brain-inspired computation cognitive cyber-physical systems 1 2 2 06/28/22 20220623 NES 220623 Introduction Artificial intelligence (AI), cognitive computing, machine learning, and brain-inspired computing are among the most trending research focuses in cyber physical systems (CPSs). This has resulted in the development of brain-inspired computing algorithms including nature-inspired algorithms, genetic algorithms, swarm algorithms, and pattern recognition algorithms, for addressing hard computational problems and CPS research challenges. [Extracted from the article]
Copyright of Frontiers in Neurorobotics is the property of Frontiers Media S.A. 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.)
Databáze: Complementary Index
FullText Text:
  Availability: 0
CustomLinks:
  – Url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&db=pmc&term=1662-5218[TA]+AND+1[PG]+AND+2022[PDAT]
    Name: FREE - PubMed Central (ISSN based link)
    Category: fullText
    Text: Full Text
    Icon: https://imageserver.ebscohost.com/NetImages/iconPdf.gif
    MouseOverText: Check this PubMed for the article full text.
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edb&genre=article&issn=16625218&ISBN=&volume=16&issue=&date=20220623&spage=1&pages=1-2&title=Frontiers in Neurorobotics&atitle=Editorial%3A%20Cognitive%20Brain-Inspired%20Cyber-Physical%20Systems%20in%20Industrial%20Informatics.&aulast=Sangaiah%2C%20Arun%20Kumar&id=DOI:10.3389/fnbot.2022.926538
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Sangaiah%20AK
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edb
DbLabel: Complementary Index
An: 157636358
RelevancyScore: 843
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 843.268493652344
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Editorial: Cognitive Brain-Inspired Cyber-Physical Systems in Industrial Informatics.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Sangaiah%2C+Arun+Kumar%22">Sangaiah, Arun Kumar</searchLink><br /><searchLink fieldCode="AR" term="%22Siarry%2C+Patrick%22">Siarry, Patrick</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Frontiers in Neurorobotics; 6/23/2022, Vol. 16, p1-2, 2p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22CYBER+physical+systems%22">CYBER physical systems</searchLink><br /><searchLink fieldCode="DE" term="%22COGNITIVE+computing%22">COGNITIVE computing</searchLink><br /><searchLink fieldCode="DE" term="%22ARTIFICIAL+intelligence%22">ARTIFICIAL intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22MEDICAL+informatics%22">MEDICAL informatics</searchLink><br /><searchLink fieldCode="DE" term="%22CEREBRAL+infarction%22">CEREBRAL infarction</searchLink><br /><searchLink fieldCode="DE" term="%22CHILDHOOD+epilepsy%22">CHILDHOOD epilepsy</searchLink><br /><searchLink fieldCode="DE" term="%22SMART+devices%22">SMART devices</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Cognitive cyber-physical systems (CCPSs) are witnessing a rapid transformation as an interdisciplinary technology that blends physical components and computing devices to enable AI-based solutions. Keywords: cognitive system; cyber physical system (CPS); industrial informatics; brain-inspired computation; cognitive cyber-physical systems EN cognitive system cyber physical system (CPS) industrial informatics brain-inspired computation cognitive cyber-physical systems 1 2 2 06/28/22 20220623 NES 220623 Introduction Artificial intelligence (AI), cognitive computing, machine learning, and brain-inspired computing are among the most trending research focuses in cyber physical systems (CPSs). This has resulted in the development of brain-inspired computing algorithms including nature-inspired algorithms, genetic algorithms, swarm algorithms, and pattern recognition algorithms, for addressing hard computational problems and CPS research challenges. [Extracted from the article]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Frontiers in Neurorobotics is the property of Frontiers Media S.A. 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://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=157636358
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3389/fnbot.2022.926538
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 2
        StartPage: 1
    Subjects:
      – SubjectFull: CYBER physical systems
        Type: general
      – SubjectFull: COGNITIVE computing
        Type: general
      – SubjectFull: ARTIFICIAL intelligence
        Type: general
      – SubjectFull: MEDICAL informatics
        Type: general
      – SubjectFull: CEREBRAL infarction
        Type: general
      – SubjectFull: CHILDHOOD epilepsy
        Type: general
      – SubjectFull: SMART devices
        Type: general
    Titles:
      – TitleFull: Editorial: Cognitive Brain-Inspired Cyber-Physical Systems in Industrial Informatics.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sangaiah, Arun Kumar
      – PersonEntity:
          Name:
            NameFull: Siarry, Patrick
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 23
              M: 06
              Text: 6/23/2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 16625218
          Numbering:
            – Type: volume
              Value: 16
          Titles:
            – TitleFull: Frontiers in Neurorobotics
              Type: main
ResultId 1