Zobrazeno 1 - 10
of 1 205
pro vyhledávání: '"Yu Zhiwen"'
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
With the advancement of source-load interaction in the new power systems, data-driven approaches have provided a foundational support for aggregating and interacting between sources and loads. However, with the widespread integration of distributed e
Externí odkaz:
https://doaj.org/article/1cb3f22487c24a2babc81f3f51e1bb56
Ubiquitous on-device heart rate sensing is vital for high-stress individuals and chronic patients. Non-contact sensing, compared to contact-based tools, allows for natural user monitoring, potentially enabling more accurate and holistic data collecti
Externí odkaz:
http://arxiv.org/abs/2410.19279
Publikováno v:
The 22th ACM Conference on Embedded Networked Sensor Systems, 2024
On-device adapting to continual, unpredictable domain shifts is essential for mobile applications like autonomous driving and augmented reality to deliver seamless user experiences in evolving environments. Test-time adaptation (TTA) emerges as a pro
Externí odkaz:
http://arxiv.org/abs/2410.08256
Autor:
Zhang, Ting, Yang, Bo, Yu, Zhiwen, Cao, Xuelin, Alexandropoulos, George C., Zhang, Yan, Yuen, Chau
Task offloading is of paramount importance to efficiently orchestrate vehicular wireless networks, necessitating the availability of information regarding the current network status and computational resources. However, due to the mobility of the veh
Externí odkaz:
http://arxiv.org/abs/2409.17681
Autor:
Liang, Ruihuai, Yang, Bo, Yu, Zhiwen, Guo, Bin, Cao, Xuelin, Debbah, Mérouane, Poor, H. Vincent, Yuen, Chau
Diffusion generative models, famous for their performance in image generation, are popular in various cross-domain applications. However, their use in the communication community has been mostly limited to auxiliary tasks like data modeling and featu
Externí odkaz:
http://arxiv.org/abs/2408.06701
Artificial Intelligence of Things (AIoT) is an emerging frontier based on the deep fusion of Internet of Things (IoT) and Artificial Intelligence (AI) technologies. Although advanced deep learning techniques enhance the efficient data processing and
Externí odkaz:
http://arxiv.org/abs/2407.06485
Autor:
Zhang, Xueyao, Yang, Bo, Yu, Zhiwen, Cao, Xuelin, Alexandropoulos, George C., Zhang, Yan, Debbah, Merouane, Yuen, Chau
This paper investigates autonomous driving safety improvement via task offloading from cellular vehicles (CVs) to a multi-access edge computing (MEC) server using vehicle-to-infrastructure (V2I) links. Considering that the latter links can be reused
Externí odkaz:
http://arxiv.org/abs/2407.00933
The increasing demand for communication is degrading the electromagnetic (EM) transmission environment due to severe EM interference, significantly reducing the efficiency of the radio frequency (RF) spectrum. Metasurfaces, a promising technology for
Externí odkaz:
http://arxiv.org/abs/2406.18055
Autor:
Cao, Xuelin, Yang, Bo, Wang, Kaining, Li, Xinghua, Yu, Zhiwen, Yuen, Chau, Zhang, Yan, Han, Zhu
With the rapidly increasing number of bandwidth-intensive terminals capable of intelligent computing and communication, such as smart devices equipped with shallow neural network models, the complexity of multiple access for these intelligent termina
Externí odkaz:
http://arxiv.org/abs/2406.13335
Autor:
Xiong, Siyu, Tang, Bangying, Han, Hui, Huang, Jinquan, Bai, Mingqiang, Li, Fangzhao, Mo, Wanrong Yu Zhiwen, Liu, Bo
Quantum digital signature is used to authenticate the identity of the signer with information theoretical security, while providing non-forgery and non-repudiation services. In traditional multi-receiver quantum digital signature schemes without an a
Externí odkaz:
http://arxiv.org/abs/2406.07824