Key advances in the development of artificial neural networks came from psychologists seeking to understand how the human mind works.

The collaboration of TU Wien with research groups in China has resulted in a crucial building block for a new kind of quantum ...

Understanding how a tumor evolves against the attack of the immune system is one of the greatest challenges in modern medicine. Current mathematical models are usually deterministic; that is, they ...

Abstract: This paper presents a new fractional-order control algorithm for a doubly fed induction generator-based wind energy conversion system. Nonlinearities resulting from wind turbine dynamics, ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

The paper, “Nonlinear Control and Decision Making Using Fuzzy Logic in Logix,” provides best practices for designing with fuzzy control and examines its benefits compared to conventional control ...