This sets unrealistic expectations for AI and leads to misuse. It also slows progress toward building new AI applications.
Federated Spatial-Temporal Synchronous Graph Convolutional Network for Cross-City Traffic Prediction
Abstract: Accurate traffic forecasting plays a vital role in modern intelligent transportation systems and enables proactive traffic management and well-informed decision-making. Although existing ...
Abstract: Graph convolutional networks (GCNs) have attracted significant attention in the field of multi-view learning, as they effectively extract intricate information from diverse features.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results