Sparse random neural networks for online anomaly detection on sensor nodes.

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Bibliographic Details
Title: Sparse random neural networks for online anomaly detection on sensor nodes.
Authors: Leroux, Sam1, sam.leroux@ugent.be, Simoens, Pieter1
Source: Future Generation Computer Systems; Jul2023, Vol. 144, p327-343, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 162760231
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Sparse random neural networks for online anomaly detection on sensor nodes.
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.future.2022.12.028
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 327
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      – TitleFull: Sparse random neural networks for online anomaly detection on sensor nodes.
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          Name:
            NameFull: Leroux, Sam
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            NameFull: Simoens, Pieter
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          Dates:
            – D: 01
              M: 07
              Text: Jul2023
              Type: published
              Y: 2023
          Identifiers:
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              Value: 0167739X
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              Value: 144
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            – TitleFull: Future Generation Computer Systems
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