Annals of Computer Science and Information Systems > 2021 > Vol. 27 > 1--6
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e-ISSN czasopisma : | 2300-5963 |
DOI | 10.15439/2021R10 |
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Bibliografia
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1. K. chao Miao, T. ting Han, Y. qing Yao, H. Lu, P. Chen, B. Wang, and J. Zhang, “Application of lstm for short term fog forecasting based on meteorological elements,” Neurocomputing, vol. 408, pp. 285–291, 2020.
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2. I. Lezhenin, N. Bogach, and E. Pyshkin, “Urban sound classification using long short-term memory neural network,” in Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, ser. Annals of Computer Science and Information Systems, M. Ganzha, L. Maciaszek, and M. Paprzycki, Eds., vol. 18. IEEE, 2019, pp. 57–60. [Online]. Available: http://dx.doi.org/10.15439/2019F185
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3. Z. Cui, R. Ke, Z. Pu, and Y. Wang, “Stacked bidirectional and unidirectional lstm recurrent neural network for forecasting network-wide traffic state with missing values,” Transportation Research Part C: Emerging Technologies, vol. 118, p. 102674, 2020.