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M2BIST-SPNet: RUL prediction for railway signaling electromechanical devices.

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Bibliographic Details
Title: M2BIST-SPNet: RUL prediction for railway signaling electromechanical devices.
Authors: Hu, Xiaoxi1, xiaoxhu@bjtu.edu.cn, Tan, Lei1,2, Tang, Tao1
Source: Journal of Supercomputing; Aug2024, Vol. 80 Issue 12, p16744-16774, 31p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178339397
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: M2BIST-SPNet: RUL prediction for railway signaling electromechanical devices.
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  Data: <searchLink fieldCode="AU" term="%22Hu%2C+Xiaoxi%22">Hu, Xiaoxi</searchLink><relatesTo>1</relatesTo>, <i>xiaoxhu@bjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Tan%2C+Lei%22">Tan, Lei</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Tang%2C+Tao%22">Tang, Tao</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>; Aug2024, Vol. 80 Issue 12, p16744-16774, 31p
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    Identifiers:
      – Type: doi
        Value: 10.1007/s11227-024-06111-y
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      – Code: eng
        Text: English
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        PageCount: 31
        StartPage: 16744
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      – TitleFull: M2BIST-SPNet: RUL prediction for railway signaling electromechanical devices.
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            NameFull: Hu, Xiaoxi
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            NameFull: Tan, Lei
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            NameFull: Tang, Tao
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            – D: 01
              M: 08
              Text: Aug2024
              Type: published
              Y: 2024
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              Value: 80
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              Value: 12
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            – TitleFull: Journal of Supercomputing
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