View in EDS HTML Full Text PDF Full Text

Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (a review). Part 2: artificial neural networks and deep learning.

Saved in:
Bibliographic Details
Title: Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (a review). Part 2: artificial neural networks and deep learning.
Authors: Stankevych, O. M.1 (AUTHOR) olena.m.stankevych@lpnu.ua, Rebot, D. P.1 (AUTHOR) dariya.p.rebot@lpnu.ua
Source: Materials Science. Jan2025, Vol. 60 Issue 4, p397-406. 10p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 186678754
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (a review). Part 2: artificial neural networks and deep learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Stankevych%2C+O%2E+M%2E%22">Stankevych, O. M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> olena.m.stankevych@lpnu.ua</i><br /><searchLink fieldCode="AR" term="%22Rebot%2C+D%2E+P%2E%22">Rebot, D. P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> dariya.p.rebot@lpnu.ua</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Materials+Science%22">Materials Science</searchLink>. Jan2025, Vol. 60 Issue 4, p397-406. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186678754
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11003-025-00899-7
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 397
    Titles:
      – TitleFull: Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (a review). Part 2: artificial neural networks and deep learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Stankevych, O. M.
      – PersonEntity:
          Name:
            NameFull: Rebot, D. P.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 1068820X
          Numbering:
            – Type: volume
              Value: 60
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Materials Science
              Type: main
ResultId 1