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Data-driven models with physical interpretability for real-time cavity profile prediction in electrochemical machining processes.

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Title: Data-driven models with physical interpretability for real-time cavity profile prediction in electrochemical machining processes.
Authors: Wu, Ming1,2,3, ming.wu1@kuleuven.be, Yao, Zequan1,3, zequan.yao@kuleuven.be, Verbeke, Mathias2,3, mathias.verbeke@kuleuven.be, Karsmakers, Peter2,3, peter.karsmakers@kuleuven.be, Gorissen, Benjamin1,3, benjamin.gorissen@kuleuven.be, Reynaerts, Dominiek1,3, dominiek.reynaerts@kuleuven.be
Source: Engineering Applications of Artificial Intelligence; Nov2025:Part A, Vol. 160, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188574003
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Data-driven models with physical interpretability for real-time cavity profile prediction in electrochemical machining processes.
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Artificial+Intelligence%22">Engineering Applications of Artificial Intelligence</searchLink>; Nov2025:Part A, Vol. 160, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188574003
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.engappai.2025.111807
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      – Code: eng
        Text: English
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        StartPage: N.PAG
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      – TitleFull: Data-driven models with physical interpretability for real-time cavity profile prediction in electrochemical machining processes.
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            NameFull: Wu, Ming
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            NameFull: Yao, Zequan
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            NameFull: Verbeke, Mathias
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            NameFull: Karsmakers, Peter
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            NameFull: Gorissen, Benjamin
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            NameFull: Reynaerts, Dominiek
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              M: 11
              Text: Nov2025:Part A
              Type: published
              Y: 2025
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              Value: 160
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            – TitleFull: Engineering Applications of Artificial Intelligence
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