Abstract: Split computing, a recently developed paradigm, capitalizes on the computational resources of end devices to enhance the inference efficiency in machine learning (ML) applications. This ...
Abstract: Inter-symbol interference (ISI) limits reliability in diffusion-based molecular communication (MC) channels. We propose RLIM, a family of run-length-limited (RLL) codes that form fixed-size ...
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