Mobile CrowdSensing (MCS) has become a powerful sensing paradigm for information collection recently. As sensing becomes more ...

For Morgan Lorio, MD, speaking out about healthcare policy is a necessity, not a theory. He recently published an analysis in ...

Abstract: Advanced airborne equipment liquid cooling system presents the development trend of multiple pumps in parallel, centralised heat dissipation and high efficiency circulation, but this type of ...

Abstract: Deep Neural Networks have achieved remarkable success in various machine learning tasks, such as computer vision and natural language processing, but their computational and memory ...

Global data demand continues to grow at an exponential rate, driven by emerging applications in cloud computing, artificial intelligence, autonomous systems, and high-bandwidth communications. Even ...

Is your feature request related to a problem? Please describe. Running multiple backtests in Jesse (for example, scanning many coin pairs or strategies) is currently very slow and cumbersome when done ...

1 Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan, China 2 School of Information Engineering, Southwest University of Science and Technology, ...

Maybe you have ideas of how to generalize this to multiple optimizers, too, without blowing up the amount code. Describe alternatives you've considered. So far we are just putting all of the ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

ABSTRACT: Ahead of the Internet of Things and the emergence of big data, the interest of research is today focused on radio access and the process of optimizing it or increasing its capacity and ...