However, existing approaches fall short of simultaneously capturing spatio-temporal dependencies in the network and fail to explicitly model sensor relations in a data-driven manner. In this work, we ...

This paper initiates a discussion on the application of the graph signal processing to exploration of complex and heterogeneous data and systems, and especially for the case of environmental ...

Contribute to khoatd92/sensor-graph-opengl-es-android development by creating an account on GitHub.

In this paper, we propose an enhanced deep learning approach based on the A3T-GCN (Attention Temporal Graph Convolutional Network) model that accurately forecasts particulate matter PM 2. 5 ...

Realtime phone sensor value visualization graph. Contribute to TXH2020/Extract_Sensor_Readings development by creating an account on GitHub.