Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Changdong YU"'
Publikováno v:
水下无人系统学报, Vol 32, Iss 2, Pp 228-236 (2024)
In view of saturation attacks of anti-suicide unmanned aerial vehicles(UAVs) in the marine environment, this paper studied the cooperative countermeasure strategy of sea-air cross-domain unmanned platforms under the condition that the number of targe
Externí odkaz:
https://doaj.org/article/b37b95c71803483d8a763415058ec06b
Publikováno v:
水下无人系统学报, Vol 32, Iss 1, Pp 79-86 (2024)
Based on the background of future modern maritime combats, a multi-agent deep reinforcement learning scheme was proposed to complete the cooperative round-up task in the swarm game confrontation of unmanned surface vehicles (USVs). First, based on di
Externí odkaz:
https://doaj.org/article/018c9e6c89c14515a342b69917ebb237
Publikováno v:
IEEE Access, Vol 12, Pp 73354-73362 (2024)
In underwater robots, accurate identification of small fish is still a major challenge, because small fish move faster and occupy less screen space, which requires higher detection flexibility and receptive field of the model. To solve this challenge
Externí odkaz:
https://doaj.org/article/e25a9f9c974c47cd94116a7a421aac9e
Publikováno v:
Sensors, Vol 22, Iss 15, p 5677 (2022)
WiFi localization based on channel state information (CSI) fingerprints has become the mainstream method for indoor positioning due to the widespread deployment of WiFi networks, in which fingerprint database building is critical. However, issues, su
Externí odkaz:
https://doaj.org/article/07ac6615662c4eb099fe3e6abefdd191
Publikováno v:
Neural Processing Letters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59af358e7cd676f938e663e9c334475a
https://doi.org/10.1007/s11063-023-11212-5
https://doi.org/10.1007/s11063-023-11212-5
Publikováno v:
IEEE Wireless Communications Letters. 11:1017-1021
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f3d6611f76a7f877e1473297e089803
https://doi.org/10.1109/lwc.2022.3153085
https://doi.org/10.1109/lwc.2022.3153085
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaf2a395c7f89faf5013689b351f77af
https://doi.org/10.1109/tim.2022.3141750
https://doi.org/10.1109/tim.2022.3141750
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-10
In the two-phase flow particle image velocimetry (PIV) experiment of an object entering water, the mask of non-computed area and the calculation of velocity field in particle images are two key stages. Due to the complexity of the edge of the object
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdd9e01a1f0209d4e943abfd1c0edceb
https://doi.org/10.1109/tim.2021.3128702
https://doi.org/10.1109/tim.2021.3128702
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 620:128759
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6d3852dfe9378ca625e08982db45af2
https://doi.org/10.1016/j.physa.2023.128759
https://doi.org/10.1016/j.physa.2023.128759
Publikováno v:
Physics of Fluids. 35:045104
Motion fields estimated from image data have been widely used in physics and engineering. Time-resolved particle image velocimetry (TR-PIV) is considered as an advanced flow visualization technique that measures multi-frame velocity fields from succe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cae519eeaaaa0b6033a4d37a0f8e06a9
https://doi.org/10.1063/5.0142604
https://doi.org/10.1063/5.0142604