1 code implementation • 30 Sep 2023 • Zhiyong Yang, Yuelong Zhu, Xiaoqin Zeng, Jun Zong, Xiuheng Liu, Ran Tao, Xiaofei Cong, YuFeng Yu
First, we built a river ice semantic segmentation dataset IPC_RI_SEG using a fixed camera and covering the entire ice melting process of the river.
no code implementations • 2 Dec 2022 • XiaoDong Li, Chenxin Zou, Yi Cai, Yuelong Zhu
Winner of the game is thus considered to have better qualities.
no code implementations • 1 May 2019 • Yu-Feng Yu, Yuelong Zhu, Dingsheng Wan, Qun Zhao, Huan Liu
The experimental results on diverse time series data sets demonstrate that our proposed representation significantly outperforms the original SAX representation and an improved SAX representation for classification.
no code implementations • 1 May 2019 • Yu-Feng Yu, Yuelong Zhu, Dingsheng Wan, Qun Zhao, Kai Shu, Huan Liu
Floods of research and practical applications employ social media data for a wide range of public applications, including environmental monitoring, water resource managing, disaster and emergency response. Hydroinformatics can benefit from the social media technologies with newly emerged data, techniques and analytical tools to handle large datasets, from which creative ideas and new values could be mined. This paper first proposes a 4W (What, Why, When, hoW) model and a methodological structure to better understand and represent the application of social media to hydroinformatics, then provides an overview of academic research of applying social media to hydroinformatics such as water environment, water resources, flood, drought and water Scarcity management.