Using a relatively young theory, a team of mathematicians has started to answer questions whose roots lie at the very ...

Abstract: The imbalanced classification problem has always been one of the important challenges in neural network and machine learning. As an effective method to deal with imbalanced classification ...

Abstract: Due to the non-linear and non-convex properties, classical electrical resistance tomography (ERT) image reconstruction algorithms are less effective and less accurate. In this article, a non ...