Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Yiduo Mei"'
Publikováno v:
Advances in Mechanical Engineering, Vol 15 (2023)
Train movement prediction simulation is an effective method of enhancing operation safety and efficiency of railway transportation. Train movement data generated by the trains running in a railway network are huge, and on the other hand, the data qua
Externí odkaz:
https://doaj.org/article/8fed031a78dd42dda29173eab2c6fcb2
Publikováno v:
IEEE Access, Vol 8, Pp 14322-14328 (2020)
Time series data is common in data sets has become one of the focuses of current research. The prediction of time series can be realized through the mining of time series data, so that we can obtain the development process and regularity of social ec
Externí odkaz:
https://doaj.org/article/0025ee60a62547ff8d30f8b72ee5f3aa
Publikováno v:
Complexity, Vol 2020 (2020)
With the development of science and technology, the application of big data is becoming more and more widespread, and it has gradually expanded to various fields such as economy and commerce. Since the 2008 international financial crisis, the mainstr
Externí odkaz:
https://doaj.org/article/5e087f8237234499a8a503dd343ef22a
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 5, Iss 1, Pp 90-90 (2009)
Externí odkaz:
https://doaj.org/article/9b52c9e94f5d48648f3843022006753a
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 5, Iss 1, Pp 91-91 (2009)
Externí odkaz:
https://doaj.org/article/a87fb1b77a284f569ff0bbbda0acb0a9
Publikováno v:
IEEE Transactions on Vehicular Technology. 72:214-226
Publikováno v:
2022 IEEE 10th International Conference on Computer Science and Network Technology (ICCSNT).
Train movement prediction simulation is an effective method of enhancing operation safety and efficiency of railway transportation. In reality, train movement data generated by the trains running in a railway network are huge, and on the other hand,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f00d53ce0f0bb18a87c35d91f767a63
https://doi.org/10.21203/rs.3.rs-1948356/v1
https://doi.org/10.21203/rs.3.rs-1948356/v1