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. |
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| 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 |
| ISSN: | 09521976 |
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| DOI: | 10.1016/j.engappai.2025.111807 |
