Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Qianzhi Ma"'
Publikováno v:
Multimedia Tools and Applications. 78:28257-28283
We propose a novel Multi-Task Learning Network (MTNET) with four different subtasks for person re-identification mission. At the same time, the attribute recognition mission can be implemented by the same network. We achieve multi-mission by integrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::592cb10cc60d32df043e4df355f43a81
https://doi.org/10.1007/s11042-019-07921-6
https://doi.org/10.1007/s11042-019-07921-6
Autor:
Qianzhi Ma, Xiujuan Lei
Publikováno v:
BIC-TA
The path planning method based on artificial fish school algorithm (AFSA) was proposed to solve unmanned combat aerial vehicle (UCAV) path planning problem under the 2-D radar threats environment. According to the path planning requirements, the thre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40ab1fbbfb0bf6159793af2d4d303eb3
https://doi.org/10.1109/bicta.2010.5645185
https://doi.org/10.1109/bicta.2010.5645185
Autor:
Qianzhi Ma, Xiujuan Lei
Publikováno v:
Artificial Intelligence and Computational Intelligence ISBN: 9783642165269
AICI (2)
AICI (2)
For the global path planning of mobile robot under the dynamic uncertain environment, a path planning method combined time rolling window strategy and artificial bee colony (ABC) algorithm was proposed. To meet the real time requirement, the global p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d930b6a1f2d67f0dde49f957b0989eb2
https://doi.org/10.1007/978-3-642-16527-6_34
https://doi.org/10.1007/978-3-642-16527-6_34
Autor:
Qianzhi Ma, Xiujuan Lei
Publikováno v:
Artificial Intelligence and Computational Intelligence ISBN: 9783642052521
AICI
AICI
For the calculation complexity and the convergence in Unmanned Combat Aerial Vehicle (UCAV) path planning, the path planning method based on Second-order Oscillating Particle Swarm Optimization (SOPSO) was proposed to improve the properties of soluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13f4b6e0a8a6e93b7d11042ebf3692b9
https://doi.org/10.1007/978-3-642-05253-8_23
https://doi.org/10.1007/978-3-642-05253-8_23
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642049613
This paper introduces a new improved algorithm called chaotic PSO (CPSO) based on the thought of chaos optimization to solve multiple sequence alignment. For one thing, the chaotic variables are generated between 0 and 1 when initializing the populat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6b8c3f133a5080d23984f69aef34d60
https://doi.org/10.1007/978-3-642-04962-0_40
https://doi.org/10.1007/978-3-642-04962-0_40
Publikováno v:
CSIE (5)
According to the low efficiency of Particle Swarm Optimization algorithm applied in mobile robot path planning with complex constraints, a novel boundary constraints handling mechanism was put forward through analyzing the type of constraints. In add
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e87e8931718a4f5e79086a4907816736
https://doi.org/10.1109/csie.2009.124
https://doi.org/10.1109/csie.2009.124
Publikováno v:
2009 WRI World Congress on Computer Science & Information Engineering; 2009, p244-248, 5p
Autor:
何京健
Publikováno v:
Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban); 2022 Supplement, Vol. 42, p500-507, 8p
Publikováno v:
Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban); 2021, Vol. 41 Issue 3, p349-355, 7p
Publikováno v:
Multimedia Tools & Applications; Oct2019, Vol. 78 Issue 19, p28257-28283, 27p