Open Access
| Issue |
E3S Web of Conf.
Volume 402, 2023
International Scientific Siberian Transport Forum - TransSiberia 2023
|
|
|---|---|---|
| Article Number | 03021 | |
| Number of page(s) | 10 | |
| Section | Mathematical Modeling, IT, Industrial IoT, AI, and ML | |
| DOI | https://doi.org/10.1051/e3sconf/202340203021 | |
| Published online | 19 July 2023 | |
- A. Chernov, M. Butakova, A. Guda, P. Shevchuk, European Dependable Computing Conference 1279, 33-43 (2020) https://doi.10.1007/978-3-030-58462-7_3 [Google Scholar]
- A.N. Shabelnikov, I.A. Olgeizer, A.V. Sukhanov, IOP Conference Series: Materials Science and Engineering 918(1), 012067 (2020) [CrossRef] [Google Scholar]
- A.E. Khatlamadzhiyan, S.M. Kovalev, V.B. Tarassov, Lecture Notes in Networks and Systems 330, 513–526 (2022) [CrossRef] [Google Scholar]
- M.A. Butakova, A.V. Chernov, S.M. Kovalev, A.V. Sukhanov, S. Zajaczek, Lecture Notes in Electrical Engineering 554 (2020) [Google Scholar]
- G. Peyré, M. Cuturi, Foundations and Trends in Machine Learning 11(5-6), 355-607 (2019) [CrossRef] [Google Scholar]
- Implementation of intelegent monitoring for the marshaling yard. https://elibrary.ru/item.asp?id=41651687&, last accessed 2022/05/15. [Google Scholar]
- Rectified Linear Units, the linear correction unit activation function. https://programmersought.com/article/97782232355/, last accessed 2022/05/15. [Google Scholar]
- Ch. A. Naesseth, F. Lindsten, Th.B. Schön, Foundations and Trends® in Machine Learning 12(3), 307-392 (2019) [Google Scholar]
- L. Stanković, D. Mandic, M. Daković, M. Brajović, B. Scalzo, Sh. Li, A. G. Constantinides, Foundations and Trends® in Machine Learning 13(1), 1-157 (2020) [Google Scholar]
- J. Zhang, J.Yang, Jun Yu, J. Fan, International journal of intelligent systems 37(5), 3117-3141 (2022) [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.