Abstract: Fusing probabilistic information is a fundamental task in signal and data processing with relevance to many fields of technology and science. In this work, we investigate the fusion of ...

This article presents an application for failure probability in long-pipeline gas systems through the development of trend curves over time for the attributes of corrosion wear, which are related to ...

This paper presents an application of swarm intelligence to a hundred-year-old problem in mathematics, the Hausdorff moment problem (HMP), where one reconstructs a density function from its moments.

School of Physics, University College Cork, Cork T12 R5CP, Ireland Tyndall National Institute, University of Cork, Cork T12 R5CP, Ireland School of Physics, University College Cork, Cork T12 R5CP, ...

Abstract: A longstanding problem in statistics pertains to the estimation of probability density functions of continuous random variables from a finite set of their samples. In this paper, we propose ...

Over the past decade machine learning has made significant advances in approximating density functionals, but whether this signals the end of human-designed functionals remains to be seen. Ryan ...

Density is a key trait of populations and an essential parameter in ecological research, wildlife conservation and management. Several models have been developed to estimate population density based ...

Machine learning (ML) has been applied to space weather problems with increasing frequency in recent years, driven by an influx of in-situ measurements and a desire to improve modeling and forecasting ...

EEG is an indicator of neural activity and is used to study complex brain dynamic processes, such as cognitive processes, memory, and the recognition of emotion (Lin et al., 2016; Soleymani et al., ...

1 Department of Applied Mathematics and Statistics, University of California, Santa Cruz, CA, USA. 2 TRADOC Analysis Center, Naval Postgraduate School, Monterey, CA ...