Artificial Intelligence-Enabled Predictive Maintenance for the Resilient Manufacturing: Current Applications and Challenges
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4700-9_27
Reference44 articles.
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2. Manchadi, O., Ben-Bouazza, F.E., Jioudi, B.: Predictive maintenance in healthcare system: a survey. IEEE Access. (2023). https://doi.org/10.1109/ACCESS.2023.3287490
3. Resende, C., Folgado, D., Oliveira, J., Franco, B., Moreira, W., Oliveira-Jr, A., Cavaleiro, A., Carvalho, R.: Tip4.0: Industrial internet of things platform for predictive maintenance. Sensors (2021). https://doi.org/10.3390/s21144676
4. Asniar, Maulidevi, N.U., Surendro, K.: SMOTE-LOF for noise identification in imbalanced data classification. J. King Saud Univ. Comput. Inf. Sci. (2022). https://doi.org/10.1016/j.jksuci.2021.01.014
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