Zobrazeno 1 - 10
of 1 798
pro vyhledávání: '"PAN Quan"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 6, Pp 1170-1178 (2023)
The vulnerability of DNN makes the SAR-ATR system that uses an intelligent algorithm for recognition also somewhat vulnerable. In order to verify the vulnerability, this paper proposes DE-JSMA, a novel sparse adversarial attack algorithm based on a s
Externí odkaz:
https://doaj.org/article/4d47e8e485094238b74c831d5d2d34d4
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 3, Pp 537-545 (2023)
A radar HRRP recognition algorithm based on time-spectrogram feature and multi-scale convolutional neural network is proposed to address the difficult feature extraction and low accuracy in space target recognition. Firstly, the normalization is used
Externí odkaz:
https://doaj.org/article/2230a95a804e4c16894976a03e7f5abb
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 2, Pp 389-399 (2023)
Considering the obstacle avoidance and collision avoidance for multi-agent cooperative formation in multi-obstacle environment, a formation control algorithm based on transfer learning and reinforcement learning is proposed. Firstly, in the source ta
Externí odkaz:
https://doaj.org/article/36f05d3807694495b7e62e75b98994b5
Publikováno v:
BMC Surgery, Vol 22, Iss 1, Pp 1-7 (2022)
Abstract Regardless of the advances in surgical techniques, parastomal hernia is still an inevitable complication for many patients with low rectal cancer undergoing abdominal perineal resection (APR). Extraperitoneal colostomy (EPC) seems to be a ef
Externí odkaz:
https://doaj.org/article/8234638cfaab4c7da6d65dc568d5a32b
Fixed-wing Unmanned Aerial Vehicles (UAVs) are one of the most commonly used platforms for the burgeoning Low-altitude Economy (LAE) and Urban Air Mobility (UAM), due to their long endurance and high-speed capabilities. Classical obstacle avoidance s
Externí odkaz:
http://arxiv.org/abs/2411.18009
Adversarial attacks against monocular depth estimation (MDE) systems pose significant challenges, particularly in safety-critical applications such as autonomous driving. Existing patch-based adversarial attacks for MDE are confined to the vicinity o
Externí odkaz:
http://arxiv.org/abs/2407.17312
This study introduces a novel approach to neural rendering, specifically tailored for adversarial camouflage, within an extensive 3D rendering framework. Our method, named FPA, goes beyond traditional techniques by faithfully simulating lighting cond
Externí odkaz:
http://arxiv.org/abs/2402.13575
In solving the non-myopic radar scheduling for multiple smart target tracking within an active and passive radar network, we need to consider both short-term enhanced tracking performance and a higher probability of target maneuvering in the future w
Externí odkaz:
http://arxiv.org/abs/2402.12015
Deep learning (DL)-based sea\textendash land clutter classification for sky-wave over-the-horizon-radar (OTHR) has become a novel research topic. In engineering applications, real-time predictions of sea\textendash land clutter with existing distribu
Externí odkaz:
http://arxiv.org/abs/2402.06315
This paper, the fourth part of a series of papers on the arithmetic average (AA) density fusion approach and its application for target tracking, addresses the intricate challenge of distributed heterogeneous multisensor multitarget tracking, where e
Externí odkaz:
http://arxiv.org/abs/2402.00080