Abstract: The large number of parameters in deep neural networks (DNNs) poses significant challenges for resource-constrained hardware. To address this, researchers have focused on model sparsity to ...
Abstract: The development of non-terrestrial networks (NTNs) and their integration with terrestrial networks is a potential research area in sixth-generation (6G) networks. NTNs are favored for their ...
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