ASTPKEformer is proposed, a prior knowledge-guided Trans-former framework for traffic prediction that outperforms state-of-the-art (SOTA) baselines, validating its effectiveness and enhancing the representation capability.
Wenfeng Zhou, Xiao-Yun Xia, Xiang-Jie Kong et al.· Proceedings of the Thirty-Fi...· 0 citations
Experimental results demonstrate that the ULSTM framework significantly outperforms frame-independent generative models by suppressing high-frequency reconstruction noise, providing a robust solution for real-world smart city deployments.
Borja Pérez, Mario Resino, Jaime Godoy et al.· Smart Cities· 0 citations
A Federated Spatio-Temporal Synchronous Dynamic Graph Neural Network (Federated STSDGNN) framework for privacy-preserving and adaptive trajectory prediction, which achieves approximately 23.5% lower RMSE compared to the centralized STSDGNN baseline in the conducted experiments, and has the potential to support future p...
Aditi Joshi, Amrutha P, Vaidehi Prajapati et al.· Frontiers in Artificial Inte...· 0 citations
The Structure-Guided Spatiotemporal Attention Graph Neural Network is proposed, offering a mechanistic account of the model's decision-making process while ensuring robust forecasting by aligning attention-based reasoning with identified macroscopic dependencies and preventing over-reliance on ephemeral local noise.
A novel spatiotemporal forecasting framework, termed Memory-augmented Diffusion Convolutional LSTM network (MDC-LSTM), which integrates a MemBART-inspired memory mechanism, diffusion convolution, regional attention, and LSTM-based temporal modeling and effectively captures both localized spatial patterns and deep inter...
Xi Chen, Jiajia Chen· Applied Artificial Intellige...· 0 citations
Long-term health monitoring of unattended sensing nodes is essential for remote Earth observation networks (EONs); yet, it remains challenging because anomaly-induced response drifts often resemble genuine geophysical variations in both spectral and morphological characteristics. This ambiguity makes sensor degradation...