Zobrazeno 1 - 10
of 163
pro vyhledávání: '"GAO Yulan"'
Publikováno v:
Fushe yanjiu yu fushe gongyi xuebao, Vol 42, Iss 2, Pp 020302-020302 (2024)
This study aimed to investigate the impact of conventional linear accelerator errors in the gantry angle and multi-leaf collimators (MLCs) on the intensity-modulated arc therapy (IMAT) radiation dose for brain tumors. Seven typical planning datasets
Externí odkaz:
https://doaj.org/article/283adba9c0f043c18fdd28da37d03c46
Integrated Sensing and Communication (ISAC) systems promise to revolutionize wireless networks by concurrently supporting high-resolution sensing and high-performance communication. This paper presents a novel radio access technology (RAT) selection
Externí odkaz:
http://arxiv.org/abs/2410.11002
Healthcare alert systems (HAS) are undergoing rapid evolution, propelled by advancements in artificial intelligence (AI), Internet of Things (IoT) technologies, and increasing health consciousness. Despite significant progress, a fundamental challeng
Externí odkaz:
http://arxiv.org/abs/2408.13071
The expanding use of Unmanned Aerial Vehicles (UAVs) in vital areas like traffic management, surveillance, and environmental monitoring highlights the need for robust communication and navigation systems. Particularly vulnerable are Global Navigation
Externí odkaz:
http://arxiv.org/abs/2408.13056
With the burgeon deployment of the fifth-generation new radio (5G NR) networks, the codebook plays a crucial role in enabling the base station (BS) to acquire the channel state information (CSI). Different 5G NR codebooks incur varying overheads and
Externí odkaz:
http://arxiv.org/abs/2407.05928
The Space-Air-Ground Integrated Network (SAGIN), crucial to the advancement of sixth-generation (6G) technology, plays a key role in ensuring universal connectivity, particularly by addressing the communication needs of remote areas lacking cellular
Externí odkaz:
http://arxiv.org/abs/2407.05571
Autor:
Ren, Chao, Yu, Han, Peng, Hongyi, Tang, Xiaoli, Zhao, Bo, Yi, Liping, Tan, Alysa Ziying, Gao, Yulan, Li, Anran, Li, Xiaoxiao, Li, Zengxiang, Yang, Qiang
The integration of Foundation Models (FMs) with Federated Learning (FL) presents a transformative paradigm in Artificial Intelligence (AI). This integration offers enhanced capabilities, while addressing concerns of privacy, data decentralization and
Externí odkaz:
http://arxiv.org/abs/2404.15381
In the rapidly advancing field of federated learning (FL), ensuring efficient FL task delegation while incentivising FL client participation poses significant challenges, especially in wireless networks where FL participants' coverage is limited. Exi
Externí odkaz:
http://arxiv.org/abs/2403.09153
In smart healthcare, health monitoring utilizes diverse tools and technologies to analyze patients' real-time biosignal data, enabling immediate actions and interventions. Existing monitoring approaches were designed on the premise that medical devic
Externí odkaz:
http://arxiv.org/abs/2401.10794
Publikováno v:
E3S Web of Conferences, Vol 165, p 02035 (2020)
The down industry is one of the special agricultural industrial clusters in West Anhui province, China. There are large drainage and large pollution load in the washing down industry. By analysing the characteristics of wastewater from down washing i
Externí odkaz:
https://doaj.org/article/4a8736c1544846a784be31d4a9347e50