Zobrazeno 1 - 10
of 108 799
pro vyhledávání: '"Chau, A"'
Autor:
Wang, Bohao, Shuai, Zitao, Huang, Chongwen, Yang, Qianqian, Yang, Zhaohui, Jin, Richeng, Hammadi, Ahmed Al, Zhang, Zhaoyang, Yuen, Chau, Debbah, Mérouane
Accurate localization of mobile terminals is a pivotal aspect of integrated sensing and communication systems. Traditional fingerprint-based localization methods, which infer coordinates from channel information within pre-set rectangular areas, ofte
Externí odkaz:
http://arxiv.org/abs/2409.02454
Autor:
Ji, Ran, Huang, Chongwen, Chen, Xiaoming, Sha, Wei E. I., Zhang, Zhaoyang, Yang, Jun, Yang, Kun, Yuen, Chau, Debbah, Mérouane
Hannan Limitation successfully links the directivity characteristics of 2D arrays with the aperture gain limit, providing the radiation efficiency upper limit for large 2D planar antenna arrays. This demonstrates the inevitable radiation efficiency d
Externí odkaz:
http://arxiv.org/abs/2409.01566
Publikováno v:
Journal of Energy Storage, Volume 100, Part A, 15 October 2024, 113502
Data-driven methods have gained extensive attention in estimating the state of health (SOH) of lithium-ion batteries. Accurate SOH estimation requires degradation-relevant features and alignment of statistical distributions between training and testi
Externí odkaz:
http://arxiv.org/abs/2409.00141
Autor:
Yao, Junteng, Zheng, Jianchao, Wu, Tuo, Jin, Ming, Yuen, Chau, Wong, Kai-Kit, Adachi, Fumiyuki
This correspondence investigates the novel fluid antenna system (FAS) technology, combining with reconfigurable intelligent surface (RIS) for wireless communications, where a base station (BS) communicates with a FAS-enabled user with the assistance
Externí odkaz:
http://arxiv.org/abs/2408.13447
Autor:
Zheng, Ying, Yao, Lei, Su, Yuejiao, Zhang, Yi, Wang, Yi, Zhao, Sicheng, Zhang, Yiyi, Chau, Lap-Pui
Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is crucial for advancing next-generation intelligent robots and has garnered significant interest recently. Unlike data-driven m
Externí odkaz:
http://arxiv.org/abs/2408.11537
Autor:
Lian, Jiawei, Mei, Shaohui, Wang, Xiaofei, Wang, Yi, Wang, Lefan, Lu, Yingjie, Ma, Mingyang, Chau, Lap-Pui
It has been widely substantiated that deep neural networks (DNNs) are susceptible and vulnerable to adversarial perturbations. Existing studies mainly focus on performing attacks by corrupting targeted objects (physical attack) or images (digital att
Externí odkaz:
http://arxiv.org/abs/2409.00029
Autor:
Stukalov, Sergey, Sobolev, Yuri, Penionzhkevich, Yuri, Burtebayev, Nassurlla, Goncharov, Sergey, Gurov, Yuri, Danilov, Andrey, Demyanova, Alla, Nassurlla, Maulen, Starastsin, Viktar, Shakhov, Alexey, Raidun, Semyon, Chau, Nguyen Hoai
The angular distributions of elastic scattering of $^{7}$Li, as well as the lithium-induced reaction of one-nucleon transfers $^{10}$B($^{7}$Li,$^{6}$Li)$^{11}$B were measured at $E_{lab}$ = 58 MeV. Experiment was done using U-400 accelerator beam of
Externí odkaz:
http://arxiv.org/abs/2408.09231
Physical attacks against object detection have gained increasing attention due to their significant practical implications. However, conducting physical experiments is extremely time-consuming and labor-intensive. Moreover, physical dynamics and cros
Externí odkaz:
http://arxiv.org/abs/2408.09181
In this paper, we investigate the question of which technology, fluid antenna systems (FAS) or active reconfigurable intelligent surfaces (ARIS), plays a more crucial role in FAS-ARIS wireless communication systems. To address this, we develop a comp
Externí odkaz:
http://arxiv.org/abs/2408.09067
Machine learning (ML) is promising in assisting technology computer-aided design (TCAD) simulations to alleviate difficulty in convergence and prolonged simulation time. While ML is widely used in TCAD, they either require access to the internal solv
Externí odkaz:
http://arxiv.org/abs/2408.07921