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TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
The precise prediction of multi-scale traffic is a ubiquitous challenge in the urbanization process for car owners, road administrators, and governments.
BRIEDGE: EEG-Adaptive Edge AI for Multi-Brain to Multi-Robot Interaction
To better extract the joint features of heterogeneous EEG data as well as enhance classification accuracy, BRIEDGE introduces an informer-based ProbSparse self-attention mechanism.
ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling
Recent years have witnessed significant developments in point cloud processing, including classification and segmentation.
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