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Intelligent tool-wear prediction for ball nose tungsten carbide cutters in milling of stainless steel HRC52 using a genetic algorithm-enhanced bi-directional long short-term memory network

Crossref DOI link: https://doi.org/10.1007/s42452-025-07007-z

Published Online: 2025-10-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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