Abstract: Entropy theories play a significant role in rotating machinery fault detection. The key parameters of these methods are, however, often selected ...

Abstract: In this article, we investigate a constrained composition optimization problem in a directed communication network. Each agent is equipped with a local objective function composed of both ...

ABSTRACT: In the evolving landscape of artificial intelligence and machine learning, the choice of optimization algorithm can significantly impact the success of model training and the accuracy of ...