Zobrazeno 1 - 10
of 184 956
pro vyhledávání: '"A, Kwan"'
Autor:
Jin, Zhenzhou, You, Li, Zhou, Huibin, Wang, Yuanshuo, Liu, Xiaofeng, Gong, Xinrui, Gao, Xiqi, Ng, Derrick Wing Kwan, Xia, Xiang-Gen
Massive multiple-input multiple-output (MIMO) offers significant advantages in spectral and energy efficiencies, positioning it as a cornerstone technology of fifth-generation (5G) wireless communication systems and a promising solution for the burge
Externí odkaz:
http://arxiv.org/abs/2412.18281
Autor:
Liu, Yu-Jun, Pak, Ka Kwan, Ren, Peng, Guo, Mengbo, Zhao, Entong, He, Chengdong, Jo, Gyu-Boong
Exceptional points (EPs) has seen substantial advances in both experiment and theory. However, in quantum systems, higher-order exceptional points remain of great interest and possess numerous intriguing properties yet to be fully explored. Here, we
Externí odkaz:
http://arxiv.org/abs/2412.17705
Reconfigurable intelligent surfaces (RIS)-assisted cell-free massive multiple-input multiple-output (CF mMIMO) systems have emerged as a promising technology for sixth-generation communication systems. These systems capitalize on RIS to minimize powe
Externí odkaz:
http://arxiv.org/abs/2412.17222
Autor:
Ahmed, Adeel, Xingfu, Wang, Hawbani, Ammar, Yuan, Weijie, Tabassum, Hina, Liu, Yuanwei, Qaisar, Muhammad Umar Farooq, Ding, Zhiguo, Al-Dhahir, Naofal, Nallanathan, Arumugam, Ng, Derrick Wing Kwan
Publikováno v:
IEEE Communications Surveys and Tutorials, 2024
Revolutionary sixth-generation wireless communications technologies and applications, notably digital twin networks (DTN), connected autonomous vehicles (CAVs), space-air-ground integrated networks (SAGINs), zero-touch networks, industry 5.0, and hea
Externí odkaz:
http://arxiv.org/abs/2412.17160
Autor:
Mark, Daniel K., Hu, Hong-Ye, Kwan, Joyce, Kokail, Christian, Choi, Soonwon, Yelin, Susanne F.
Understanding the mechanism of high-temperature superconductivity is among the most important problems in physics, for which quantum simulation can provide new insights. However, it remains challenging to characterize superconductivity in existing co
Externí odkaz:
http://arxiv.org/abs/2412.13186
Autor:
Aggarwal, Keshav, Kumar, Sumit, Kwan, Chung-Hang, Leung, Wing Hong, Li, Junxian, Young, Matthew P.
Let $f$ be a newform of prime level $p$ with any central character $\chi\, (\bmod\, p)$, and let $g$ be a fixed cusp form or Eisenstein series for $\hbox{SL}_{2}(\mathbb{Z})$. We prove the subconvexity bound: for any $\varepsilon>0$, \begin{align*} L
Externí odkaz:
http://arxiv.org/abs/2412.12410
This study examines the effectiveness of traditional machine learning classifiers versus deep learning models for detecting the imagined speech using electroencephalogram data. Specifically, we evaluated conventional machine learning techniques such
Externí odkaz:
http://arxiv.org/abs/2412.12215
Autor:
Zheng, Tong-Xing, Chen, Xin, Lan, Lan, Ju, Ying, Hu, Xiaoyan, Liu, Rongke, Ng, Derrick Wing Kwan, Cui, Tiejun
Despite the enhanced spectral efficiency brought by the integrated radar and communication technique, it poses significant risks to communication security when confronted with malicious radar targets. To address this issue, a reconfigurable intellige
Externí odkaz:
http://arxiv.org/abs/2412.11020
We present HyperFLINT (Hypernetwork-based FLow estimation and temporal INTerpolation), a novel deep learning-based approach for estimating flow fields, temporally interpolating scalar fields, and facilitating parameter space exploration in spatio-tem
Externí odkaz:
http://arxiv.org/abs/2412.04095
Autor:
Jiang, Yuxuan, Kwan, Ho Man, Peng, Tianhao, Gao, Ge, Zhang, Fan, Zhu, Xiaoqing, Sole, Joel, Bull, David
Recent advances in implicit neural representations (INRs) have shown significant promise in modeling visual signals for various low-vision tasks including image super-resolution (ISR). INR-based ISR methods typically learn continuous representations,
Externí odkaz:
http://arxiv.org/abs/2412.03748