The Innovation (Jul 2024)
Crowdsourcing intelligence for improving disaster forecasts
- Xiaohui Wang,
- Fuhai Dao,
- Yatai Ji,
- Sihang Qiu,
- Xian Zhu,
- Wenjie Dong,
- Huizan Wang,
- Weimin Zhang,
- Xiaolong Zheng
Affiliations
- Xiaohui Wang
- College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China
- Fuhai Dao
- School of Atmospheric Science, Sun Yat-sen University, Zhuhai 519082, China
- Yatai Ji
- College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
- Sihang Qiu
- College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
- Xian Zhu
- School of Atmospheric Science, Sun Yat-sen University, Zhuhai 519082, China
- Wenjie Dong
- School of Atmospheric Science, Sun Yat-sen University, Zhuhai 519082, China
- Huizan Wang
- College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China; Corresponding author
- Weimin Zhang
- College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China; Corresponding author
- Xiaolong Zheng
- The School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 101408, China; The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; Corresponding author
- Journal volume & issue
-
Vol. 5,
no. 4
p. 100647