Abstract: This article is committed to studying projective synchronization and complete synchronization (CS) issues for one kind of discrete-time variable-order fractional neural networks (DVFNNs) ...

Abstract: In this paper, we study the performance of a cyber-physical system with agents moving according to random tra-jectories to sense an environmental variable with known spatio-temporal profile.

A collaborative effort from TU Wien, alongside teams from the United States and Switzerland, has demonstrated that artificial intelligence can significantly advance progress in integrating quantum ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.