Abstract: We propose a sparsity-promoting feedback control design for stochastic linear systems with multiplicative noise. The objective is to identify an optimal sparse control architecture and ...

Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

1 Department of Biological Technology, Nanchang Normal University, Nanchang, Jiangxi, China 2 Jiangxi Provincial Key Laboratory of Poultry Genetic Improvement, Nanchang Normal University, Nanchang, ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

Dynamic Random Access Memory (DRAM) serves as the backbone of modern computing, enabling devices ranging from smartphones to high-performance servers. As the demand accelerates for higher density and ...

Department of Molecular Biology & Biochemistry, University of California, Irvine, Irvine, California 92697-3900, United States Department of Pharmaceutical Sciences, University of California, Irvine, ...

Abstract: A spatially-interpolated (SI) beamformer is proposed in this paper to enhance narrowband plane waves received by a sparse linear antenna array. Similar to a conventional SI filter, the ...

A lifelong gamer, film fanatic and fan of all things geeky, Andy studied Film and TV Screenwriting at university and achieved a master's degree in Scriptwriting in 2017. As a professional writer, Andy ...