Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Ma, Zihui"'
Autor:
Ma, Zihui, Hu, Guangxiao, Lin, Ting-Syuan, Li, Lingyao, Hu, Songhua, Hagen, Loni, Baecher, Gregory B.
The increasing frequency and severity of wildfires pose significant risks to communities, infrastructure, and the environment, especially in Wildland-Urban Interface (WUI) areas. Effective disaster management requires understanding how the public per
Externí odkaz:
http://arxiv.org/abs/2411.09946
Autor:
Li, Lingyao, Hu, Songhua, Dai, Yinpei, Deng, Min, Momeni, Parisa, Laverghetta, Gabriel, Fan, Lizhou, Ma, Zihui, Wang, Xi, Ma, Siyuan, Ligatti, Jay, Hemphill, Libby
As urban populations grow, the need for accessible urban design has become urgent. Traditional survey methods for assessing public perceptions of accessibility are often limited in scope. Crowdsourcing via online reviews offers a valuable alternative
Externí odkaz:
http://arxiv.org/abs/2409.08459
Autor:
Yu, Huizi, Fan, Lizhou, Li, Lingyao, Zhou, Jiayan, Ma, Zihui, Xian, Lu, Hua, Wenyue, He, Sijia, Jin, Mingyu, Zhang, Yongfeng, Gandhi, Ashvin, Ma, Xin
Large Language Models (LLMs) have rapidly become important tools in Biomedical and Health Informatics (BHI), enabling new ways to analyze data, treat patients, and conduct research. This study aims to provide a comprehensive overview of LLM applicati
Externí odkaz:
http://arxiv.org/abs/2403.16303
In March 2020, college campuses underwent a sudden transformation to online learning due to the COVID-19 outbreak. To understand the impact of COVID-19 on students' expectations, this study conducted a three-year survey from ten core courses within t
Externí odkaz:
http://arxiv.org/abs/2310.20183
Effective disaster response is critical for affected communities. Responders and decision-makers would benefit from reliable, timely measures of the issues impacting their communities during a disaster, and social media offers a potentially rich data
Externí odkaz:
http://arxiv.org/abs/2308.05281
The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and concerns that may arise with their use. We analyzed Twitter data to identif
Externí odkaz:
http://arxiv.org/abs/2305.02201
Large language models (LLMs) are a class of language models that have demonstrated outstanding performance across a range of natural language processing (NLP) tasks and have become a highly sought-after research area, because of their ability to gene
Externí odkaz:
http://arxiv.org/abs/2304.02020
Publikováno v:
In Coordination Chemistry Reviews 1 August 2024 512
Publikováno v:
In Sustainable Cities and Society 1 July 2024 106
Autor:
Fu, Songwei, Yang, Tao, Song, Yan, Tian, Xiaodong, Wang, Chao, Ma, Zihui, Wu, Jinru, Liu, Zhanjun
Publikováno v:
In Applied Surface Science 1 June 2024 657