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pro vyhledávání: '"Yi Kefu"'
As human-machine interaction continues to evolve, the capacity for environmental perception is becoming increasingly crucial. Integrating the two most common types of sensory data, images, and point clouds, can enhance detection accuracy. Currently,
Externí odkaz:
http://arxiv.org/abs/2405.01258
Multi-object tracking (MOT) in video sequences remains a challenging task, especially in scenarios with significant camera movements. This is because targets can drift considerably on the image plane, leading to erroneous tracking outcomes. Addressin
Externí odkaz:
http://arxiv.org/abs/2312.08952
Publikováno v:
In Resources Policy August 2023 85 Part A
Publikováno v:
In Resources Policy May 2023 82
Autor:
Akram, Rabia1 (AUTHOR), Yi, Kefu2 (AUTHOR) yikefu@163.com, Irfan, Muhammad3,4 (AUTHOR), Li, Xiaofang5 (AUTHOR)
Publikováno v:
Carbon Management. Dec2023, Vol. 14 Issue 1, p1-17. 17p.
Publikováno v:
In Neurocomputing 28 March 2020 383:151-164
Autor:
Yi, Kefu1 (AUTHOR), Tang, Lixia1 (AUTHOR), Hao, Wei2 (AUTHOR), Zhang, Zhaolei2 (AUTHOR), Hu, Rongdong3 (AUTHOR), Luo, Kai1 (AUTHOR)
Publikováno v:
Journal of Advanced Transportation. 4/29/2023, p1-11. 11p.
Publikováno v:
In Applied Acoustics November 2019 154:11-17
Akademický článek
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Autor:
Yi Kefu
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-10
The security information database has accumulated a large amount of historical data due to the continuing development of the securities market. People are concerned about how to fully utilize these data to investigate the securities market’s law. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faaadcc612c18bf00846c452722ceae0
https://doi.org/10.1155/2022/2578125
https://doi.org/10.1155/2022/2578125