Abstract: Feature selection is one of the major challenges in machine learning problems. It reduces the number of features and improves performance by removing the irrelevant and unnecessary ones.
Abstract: Considered a next-generation error-correction solution, non-binary low-density parity-check (NB-LDPC) codes exhibit remarkable correcting capabilities, outperforming binary counterparts for ...
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