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Tool wear prediction using convolutional bidirectional LSTM networks

Crossref DOI link: https://doi.org/10.1007/s11227-021-03903-4

Published Online: 2021-06-01

Published Print: 2022-01

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

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