Abstract: This paper proposes a novel Viterbi-Like successive cancellation (VL-SC) decoding algorithm for polar codes. The algorithm employs the bit log-likelihood-ratio as the “penalty value” within ...

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.

This repository contains Python scripts used for the machine learning analysis and uncertainty quantification in the associated corrosion study. full_analysis_pipeline.py Nested cross-validation of ...