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An Attention-Driven Spatio-Temporal Deep Hybrid Neural Networks for Traffic Flow Prediction in Transportation Systems
In the context of rapidly growing city road networks, understanding complex traffic patterns
and implementing effective safety monitoring through advanced Transportation Cyber …
and implementing effective safety monitoring through advanced Transportation Cyber …
Spatiotemporal Sequence Prediction Based on Spatiotemporal Self-Attention Mechanism
Y Zhao, J Lu - INTERNATIONAL JOURNAL OF COMPUTERS …, 2024 - univagora.ro
This paper introduces the GCN-Transformer model, an innovative approach that combines
Graph Convolutional Networks (GCNs) and Transformer architectures to enhance …
Graph Convolutional Networks (GCNs) and Transformer architectures to enhance …
English text and video online resource recommendation based on attention mechanism and GNN
Z **ao, Z Yang, Y Li, Z Cheng - Journal of Computational …, 2025 - journals.sagepub.com
This paper introduces an innovative online resource recommendation system tailored for
English text and video content, leveraging the power of attention mechanisms and graph …
English text and video content, leveraging the power of attention mechanisms and graph …