Zobrazeno 1 - 10
of 433
pro vyhledávání: '"Miao Ning"'
Autor:
Zheng Hui, Wang Yu, Wang Fuzhen, Shen Liping, Zhang Guomin, Liu Jianhua, Wang Feng, Miao Ning, Li Jian, Ding Guowei, Meng Tongtong, Tang Lin, Zhang Shuang, Li Mingshuang, Li Yuan, Wang Xiaoqi, Liu Qianqian, Zhang Qian, Wu Dan, Yan Tingting, Su Qiudong, Wang Miao, Li Li, Hou Qian, Li Yixing, Liu Yi, Ye Shaodong, An Zhijie, Lance E. Rodewald, Jia Jidong, Wang Huaqing, Yu Wenzhou, Liu Zhongfu, Li Qun, Feng Zijian, Yin Zundong
Publikováno v:
The Lancet Regional Health. Western Pacific, Vol 51, Iss , Pp 101193- (2024)
Summary: Background: Since 1992, when recombinant hepatitis B vaccine was introduced in China, government health officials have used nationally representative serological surveys to monitor progress in prevention and control of hepatitis B. In 2020,
Externí odkaz:
https://doaj.org/article/3d8f8d5d61f4459895427fb0d3d8cb7b
Autor:
Mengjie Guo, Miao Ning, Shida Sun, Chenxi Xu, Gaige Zhang, Luyao Zhang, Runcao Zhang, Jialin Zheng, Chuchu Chen, Zimu Jia, Yuyun Liu, Yu Bo
Publikováno v:
Atmosphere, Vol 15, Iss 2, p 192 (2024)
Vehicle emissions have become a significant contributor to urban air pollution. However, studies specific to city-level vehicle emission inventories are still scarce and tend to be outdated. This study introduces a methodology for developing high-res
Externí odkaz:
https://doaj.org/article/a2f273a22ff7457fbe81a5ff751f35d8
Advanced Energy-Efficient System for Precision Electrodermal Activity Monitoring in Stress Detection
This paper presents a novel Electrodermal Activity (EDA) signal acquisition system, designed to address the challenges of stress monitoring in contemporary society, where stress affects one in four individuals. Our system focuses on enhancing the acc
Externí odkaz:
http://arxiv.org/abs/2409.06114
Publikováno v:
SHS Web of Conferences, Vol 163, p 04017 (2023)
With the passage of time, China’s economic development, people’s life gradually pursue enjoyment, so the development of tourism has gradually become an important pillar of national economic development. According to the urban geographical locatio
Externí odkaz:
https://doaj.org/article/a7c2f5ee82cc4a068ed4969d874a781b
Autor:
Fang, Chongzhou, Miao, Ning, Srivastav, Shaurya, Liu, Jialin, Zhang, Ruoyu, Fang, Ruijie, Asmita, Tsang, Ryan, Nazari, Najmeh, Wang, Han, Homayoun, Houman
Large language models (LLMs) have demonstrated significant potential in the realm of natural language understanding and programming code processing tasks. Their capacity to comprehend and generate human-like code has spurred research into harnessing
Externí odkaz:
http://arxiv.org/abs/2310.12357
The recent progress in large language models (LLMs), especially the invention of chain-of-thought prompting, has made it possible to automatically answer questions by stepwise reasoning. However, when faced with more complicated problems that require
Externí odkaz:
http://arxiv.org/abs/2308.00436
Publikováno v:
E3S Web of Conferences, Vol 251, p 02017 (2021)
This paper studies the international supply chain finance among trading countries under the Internet financial environment. By introducing “One Belt And One Road” and “supply chain finance”, this paper analyzes the main supply chain finance m
Externí odkaz:
https://doaj.org/article/9194cac422634a4abed9bc4bc14ce3e7
Autor:
Fang, Chongzhou, Miao, Ning, Wang, Han, Zhou, Jiacheng, Sheaves, Tyler, Emmert, John M., Sasan, Avesta, Homayoun, Houman
In recent decades, due to the emerging requirements of computation acceleration, cloud FPGAs have become popular in public clouds. Major cloud service providers, e.g. AWS and Microsoft Azure have provided FPGA computing resources in their infrastruct
Externí odkaz:
http://arxiv.org/abs/2305.07209
The Electrocardiogram (ECG) measures the electrical cardiac activity generated by the heart to detect abnormal heartbeat and heart attack. However, the irregular occurrence of the abnormalities demands continuous monitoring of heartbeats. Machine lea
Externí odkaz:
http://arxiv.org/abs/2304.01990
Autor:
Miao, Ning, Rainforth, Tom, Mathieu, Emile, Dubois, Yann, Teh, Yee Whye, Foster, Adam, Kim, Hyunjik
We introduce InstaAug, a method for automatically learning input-specific augmentations from data. Previous methods for learning augmentations have typically assumed independence between the original input and the transformation applied to that input
Externí odkaz:
http://arxiv.org/abs/2206.00051