Xiaobai Yao
Biographic Data
| ID | 9066486 |
|---|---|
| NAME | Xiaobai Yao |
| GIVEN NAMES | Xiaobai |
| FAMILY NAME | Yao |
| SIGNATURE | YAO X |
| AFFILIATIONS | University of Georgia |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
AD-AutoGPT
In this pioneering study, inspired by AutoGPT, the state-of-the-art open-source application based on the GPT-4 large language model, we develop a novel tool called AD-AutoGPT, which can conduct data collection, processing, and analysis about complex health narratives of Alzheimer’s Disease in an autonomous manner via users’ textual prompts. We collated comprehensive data from a variety of news sources, including the Alzheimer’s Association, BBC, …
Improving NO2 prediction by integrating tree diversity, urban form, and scale sensitivity through mobile monitoring
Urban form, traffic volume, and air quality
Understanding the interplay between urban form, traffic volume, and air quality is significant for urban planning and environmental sustainability. However, limited progress has been made in bringing effective urban planning strategies to help control traffic demand and resulting air pollutants. Therefore, this study aims to investigate the interrelation between urban form, traffic volume, and air quality with a spatiotemporal stratified method. …
Agglomeration centrality examination of cities
No prominent works on this page.
Agglomeration centrality examination of cities
Urban form, traffic volume, and air quality
Understanding the interplay between urban form, traffic volume, and air quality is significant for urban planning and environmental sustainability. However, limited progress has been made in bringing effective urban planning strategies to help control traffic demand and resulting air pollutants. Therefore, this study aims to investigate the interrelation between urban form, traffic volume, and air quality with a spatiotemporal stratified method. …
Improving NO2 prediction by integrating tree diversity, urban form, and scale sensitivity through mobile monitoring
AD-AutoGPT
In this pioneering study, inspired by AutoGPT, the state-of-the-art open-source application based on the GPT-4 large language model, we develop a novel tool called AD-AutoGPT, which can conduct data collection, processing, and analysis about complex health narratives of Alzheimer’s Disease in an autonomous manner via users’ textual prompts. We collated comprehensive data from a variety of news sources, including the Alzheimer’s Association, BBC, …
Computer Science (3 works) · Geography (3 works) · Air Quality and Health Impacts (2 works) · Air quality index (2 works) · Artificial Intelligence (2 works) · Environmental Science (2 works) · Mathematics (2 works) · Meteorology (2 works) · Air pollution (1 work) · Biology (1 work)