Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.

Abstract: Active learning (AL) is a semi-supervised learning algorithm based on human-computer interaction. It aims to achieve satisfactory performance with less manual annotation costs. How to select ...

One can argue that the underlying methodology is flawed to the point that the results cannot reasonably claim to represent ...

Abstract: In practical applications, sampled-data systems are often affected by unforeseen physical constraints that may cause deviations in the sampling interval from the expected value and result in ...