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Found 4 papers, 0 papers with code
Integrating Sensing and Communication in Cellular Networks via NR Sidelink
Since electromagnetic signals, through cellular communication systems, are omnipresent, RF sensing has the potential to become a universal sensing mechanism with applications in smart home, retail, localization, gesture recognition, intrusion detection, etc.
Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds
To tackle this issue, we developed Tesla, a Message Passing Neural Network (MPNN) graph convolution approach for mmWave radar point clouds.
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks
Integrating the complementary viewpoints of biological networks and omics data is an important task in bioinformatics, but existing methods treat networks as discrete structures, which are intrinsically difficult to integrate with continuous node features or activity measures.
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning
One type of NTCs that has gained huge attention in recent years applies deep learning on packets in order to classify flows.
