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.
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 • 20 Feb 2020 • You-Wei Luo, Chuan-Xian Ren, PengFei Ge, Ke-Kun Huang, Yu-Feng Yu
Second, the batch-wise training manner in deep learning limits the description of the global structure.