Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference79 articles.
1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J. (2016). Tensorflow: A system for large-scale machine learning. In: 12th Symposium on Operating Systems Design and Implementation (OSDI 16) (pp. 265–283).
2. Akkad K., & He, D. (2019). A hybrid deep learning based approach for remaining useful life estimation. In: 2019 IEEE International Conference on Prognostics and Health Management (ICPHM), San Francisco, CA, USA. Doi: https://doi.org/10.1109/ICPHM.2019.8819435
3. Akkad, K. (2019). A Physics based deep learning technique for prognostics. In: Annual Conference of the Prognostics and Health Management Society, 11(1). Doi: https://doi.org/10.36001/phmconf.2019.v11i1.916
4. Akkad, K. (2020). A dynamic mode decomposition based deep learning technique for prognostics. University of Illinois at Chicago. Thesis. Doi: https://doi.org/10.25417/uic.14134340.v1
5. Babu, G., Zhao, P., & Li, X. (2016). Deep convolutional neural network based regression approach for estimation of remaining useful life. International Conference on Database Systems for Advanced Applications, Dallas, Texas, USA. https://doi.org/10.1007/978-3-319-32025-0_14
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