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DMCE: Diffusion Model Channel Enhancer for Multi-User Semantic Communication Systems
To address this, this paper proposes a diffusion model (DM)-based channel enhancer (DMCE) for improving the performance of multi-user semantic communication, with the DM learning the particular data distribution of channel effects on the transmitted semantic features.
Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Driving
Therefore, we propose a vehicular image segmentation-oriented semantic communication system, termed VIS-SemCom, where image segmentation features of important objects are transmitted to reduce transmission redundancy.
Attention-based UNet enabled Lightweight Image Semantic Communication System over Internet of Things
To make it affordable for IoT devices to deploy semantic communication systems, we propose an attention-based UNet enabled lightweight image semantic communication (LSSC) system, which achieves low computational complexity and small model size.
Transfer-Learning Oriented Class Imbalance Learning for Cross-Project Defect Prediction
(2) feature weighting (FW) strategy improves the average G-Measure by 11\%, and the average MCC by 29. 2\%.
