Zobrazeno 1 - 10
of 1 045
pro vyhledávání: '"J Q, Yu"'
Autor:
D. Wu, H. Y. Lan, J. Y. Zhang, J. X. Liu, H. G. Lu, J. F. Lv, X. Z. Wu, H. Zhang, J. Cai, X. L. Xu, Y. X. Geng, W. J. Ma, C. Lin, Y. Y. Zhao, H. R. Wang, F. L. Liu, C. Y. He, J. Q. Yu, B. Guo, N. Y. Wang, X. Q. Yan
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
The flux-weighted average cross sections and isomeric ratios of 92Mo(γ, n)91m,gMo and 92Mo(γ, 3n)89Mo reactions were measured through activation methods. Laser-driven bremsstrahlung γ-ray were generated by the laser wakefield accelerated quasi-mon
Externí odkaz:
https://doaj.org/article/8f236bfcb6df436abee8b7d3a4cc314c
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 3, Pp 723-737 (2022)
In practice, traffic data collection is often warned by missing data due to communication errors, sensor failures, storage loss, among other factors, leading to impaired data collection and hampering the effectiveness of downstream applications. Howe
Externí odkaz:
https://doaj.org/article/8f53547ea04f499ebe25f68bfd5980ba
Publikováno v:
IEEE Access, Vol 8, Pp 74291-74305 (2020)
With increasing public demands for timely and accurate air pollution reporting, more air quality monitoring stations have been deployed by the governments in urban metropolises to increase the coverage of urban air pollution monitoring. However, due
Externí odkaz:
https://doaj.org/article/8a4ef79edf7a414e80910aefad843de1
Publikováno v:
IEEE Access, Vol 7, Pp 166246-166256 (2019)
Traffic speed prediction, as one of the most important topics in Intelligent Transport Systems (ITS), has been investigated thoroughly in the literature. Nonetheless, traditional methods show their limitation in coping with complexity and high nonlin
Externí odkaz:
https://doaj.org/article/3f0295a62da24e5fa11ee6ae5d0bf316
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 24:4189-4202
Publikováno v:
IEEE Internet of Things Journal. 10:4506-4519
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:24389-24400
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:24966-24978
Autor:
James J. Q. Yu
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:15015-15027
Publikováno v:
IEEE Access, Vol 5, Pp 17230-17239 (2017)
Transient stability assessment is a critical tool for power system design and operation. With the emerging advanced synchrophasor measurement techniques, machine learning methods are playing an increasingly important role in power system stability as
Externí odkaz:
https://doaj.org/article/0407daf264514b589f0ff4d9e6d80352