Abstract: This paper introduces a novel Neural Architecture Search (NAS)-based framework for the automated detection of ultrasonic railway track defects. To facilitate model training, a ...
Abstract: Deep learning algorithms have seen a growth in recent times due to their capability of analyzing hidden patterns in large datasets efficiently. However, an increase in the complexity of ...
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