Abstract: Modern vehicles generate high-frequency, multivariate data streams from the Controller Area Network (CAN) bus, the fundamental digital nervous system for in-vehicle communication. Although ...
Abstract: This paper presents a novel Fully Binary Point Cloud Transformer (FBPT) model which has the potential to be widely applied and expanded in the fields of robotics and mobile devices. By ...
This project builds a binary sentiment classifier on the Rotten Tomatoes movie-review dataset. A pre-trained DistilBERT model is loaded and frozen; two trainable Dense layers are stacked on top of its ...
Abstract: Light detection and ranging (LiDAR) point cloud denoising is critical for reliable environmental perception in autonomous driving and robotics. To overcome the lack of real-noise datasets ...
Semantic communications focus on understanding the meaning behind transmitted data, ensuring effective task execution and seamless information exchange. However, when AI-native devices employ ...
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