Abstract: Wideband spectrum sensing demands ultra-low latency and high accuracy to detect spectrum holes, yet deploying deep learning (DL)-based models on resource-constrained edge devices is ...
Abstract: Cloud-based quantization is a key technique for deploying deep neural networks on resource-constrained devices. However, the growing number of heterogeneous devices has placed an increasing ...
To develop and evaluate a new deep learning MR denoising method that leverages quantitative noise distribution information from the reconstruction process to improve denoising performance and ...
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