Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Abstract: A new switched-gain observer for linear systems subject to bounded disturbances is proposed. Specifically, we formulate the problem of constructing bimodal switched-gain observers within a ...

Natural selection uses duplicated genes as raw material for functional innovation, co-opting their existing features to new functions. Understanding genetic innovation requires two questions to be ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

Abstract: The efficient implementation of inference engines for the DNN (Deep Neural Network) execution requires low power consumption and a small area. However, the activation functions' ...