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Wear diagnosis of gantry robot drive bearings using the expected value of convolutional neural network softmax output.

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Bibliographic Details
Title: Wear diagnosis of gantry robot drive bearings using the expected value of convolutional neural network softmax output.
Authors: Park, Jeonghyeon1 (AUTHOR), Boo, Kwangsuck2 (AUTHOR) injeskboo@gmail.com
Source: Journal of Mechanical Science & Technology. Jul2026, p1-9. 9p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 195217104
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Wear diagnosis of gantry robot drive bearings using the expected value of convolutional neural network softmax output.
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  Data: <searchLink fieldCode="AR" term="%22Park%2C+Jeonghyeon%22">Park, Jeonghyeon</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Boo%2C+Kwangsuck%22">Boo, Kwangsuck</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> injeskboo@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Mechanical+Science+%26+Technology%22">Journal of Mechanical Science & Technology</searchLink>. Jul2026, p1-9. 9p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195217104
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s12206-026-0635-9
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 1
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      – TitleFull: Wear diagnosis of gantry robot drive bearings using the expected value of convolutional neural network softmax output.
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            NameFull: Park, Jeonghyeon
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            NameFull: Boo, Kwangsuck
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            – D: 11
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
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