Author:
Chen Jiadong,Gao Xiaofeng,Chen Guihai
Publisher
Springer Nature Switzerland
Reference22 articles.
1. World shipping council homepage. https://www.worldshipping.org/
2. Guo, R., Wang, Y., Zhang, H., Zhang, G.: Remaining useful life prediction for rolling bearings using EMD-RISI-LSTM. In: IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1–12. IEEE (2021)
3. Stallone, A., Cicone, A., Materassi, M.: New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms. Sci. Rep. 10(1), 1–15 (2020)
4. Ryan, M.: Decomposing signal using Empirical Mode Decomposition. Towards data science (2019). https://towardsdatascience.com/decomposing-signal-using-empirical-mode-decomposition-algorithm-explanation-for-dummy-93a93304c541
5. Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735–1780 (1997)