Zobrazeno 1 - 10
of 15 404
pro vyhledávání: '"LIU, Na"'
Autor:
Chen, Siwei, Tang, Zitao, Fang, Mengqi, Sun, Rui, Zhang, Xiaotong, Xiao, Licheng, Mohajerani, Seyed Sepehr, Liu, Na, Zhang, Yuze, Sarkar, Abdus Salam, Sun, Dali, Strauf, Stefan, Yang, Eui- Hyeok
The integration of two-dimensional (2D) van der Waals (vdW) magnets with topological insulators or heavy metals holds great potential for realizing next-generation spintronic memory devices. However, achieving high-efficiency SOT switching of monolay
Externí odkaz:
http://arxiv.org/abs/2412.06650
Autor:
Ou, Xiangnian, Hu, Yueqiang, Yu, Dian, Liu, Shulin, Lou, Shaozhen, Shu, Zhiwen, Wei, Wenzhi, Liu, Man, Yu, Ping, Liu, Na, Duan, Huigao
Liquid crystal on silicon (LCoS) panels, renowned for their high resolution and fill-factor, are integral to modern projection displays. However, their inherent polarization sensitivity constrains the upper limit of light utilization, increases syste
Externí odkaz:
http://arxiv.org/abs/2411.04385
Radio map construction based on extensive measurements is accurate but expensive and time-consuming, while environment-aware radio map estimation reduces the costs at the expense of low accuracy. Considering accuracy and costs, a first-predict-then-c
Externí odkaz:
http://arxiv.org/abs/2410.18092
Autor:
Ahn, Euijoon, Liu, Na, Parekh, Tej, Patel, Ronak, Baldacchino, Tanya, Mullavey, Tracy, Robinson, Amanda, Kim, Jinman
Publikováno v:
JMIR Public Health and Surveillance, Vol 7, Iss 3, p e14837 (2021)
BackgroundOutbreaks of infectious diseases pose great risks, including hospitalization and death, to public health. Therefore, improving the management of outbreaks is important for preventing widespread infection and mitigating associated risks. Mob
Externí odkaz:
https://doaj.org/article/46f0bcb68b844d59b8ecf8ab304cc375
Autor:
Liu, Na, Huang, Robin, Baldacchino, Tanya, Sud, Archana, Sud, Kamal, Khadra, Mohamed, Kim, Jinman
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 8, p e19493 (2020)
During the recent coronavirus disease (COVID-19) pandemic, telehealth has received greater attention due to its role in reducing hospital visits from patients with COVID-19 or other conditions, while supporting home isolation in patients with mild sy
Externí odkaz:
https://doaj.org/article/0a566858586340d6872303c4ab23d264
The efficacy of large language models (LLMs) is heavily dependent on the quality of the underlying data, particularly within specialized domains. A common challenge when fine-tuning LLMs for domain-specific applications is the potential degradation o
Externí odkaz:
http://arxiv.org/abs/2403.09167
Physics-informed neural networks (PINNs) have successfully addressed various computational physics problems based on partial differential equations (PDEs). However, while tackling issues related to irregularities like singularities and oscillations,
Externí odkaz:
http://arxiv.org/abs/2403.08569
Autor:
Gong, Junchao, Bai, Lei, Ye, Peng, Xu, Wanghan, Liu, Na, Dai, Jianhua, Yang, Xiaokang, Ouyang, Wanli
Precipitation nowcasting based on radar data plays a crucial role in extreme weather prediction and has broad implications for disaster management. Despite progresses have been made based on deep learning, two key challenges of precipitation nowcasti
Externí odkaz:
http://arxiv.org/abs/2402.04290
This paper introduces RAISE (Reasoning and Acting through Scratchpad and Examples), an advanced architecture enhancing the integration of Large Language Models (LLMs) like GPT-4 into conversational agents. RAISE, an enhancement of the ReAct framework
Externí odkaz:
http://arxiv.org/abs/2401.02777
Inspired by the dual-process theory of human cognition, we introduce DUMA, a novel conversational agent framework that embodies a dual-mind mechanism through the utilization of two generative Large Language Models (LLMs) dedicated to fast and slow th
Externí odkaz:
http://arxiv.org/abs/2310.18075