Urban wind field prediction based on sparse sensors and physics-informed graph-assisted auto-encoder.
Huanxiang GaoGang HuDongqin ZhangWenjun JiangK. T. TseK. C. S. KwokAhsan KareemPublished in: Comput. Aided Civ. Infrastructure Eng. (2024)
Keyphrases
- prediction accuracy
- graph representation
- computer science
- high dimensional
- gaussian graphical models
- real time
- directed graph
- urban land
- sensor networks
- bit rate
- structured data
- prediction error
- graph structure
- prediction model
- data fusion
- graph theory
- rate distortion
- sensor data
- graph mining
- graphical models
- mobile robot
- artificial intelligence