Systematic government collection and analysis of data about mysterious sightings in the sky could help Canada better prepare ...

Causal learning from observational data is an important scientific endeavor, but the statistical and computational challenges posed by the high-dimensionality of many modern datasets are substantial.

A new method turns noise into valuable data to enhance understanding of chemical reactions and material properties with unprecedented detail at the atomic level. The results of this research are now ...

In order to solve the instability of data transmission in wireless sensor networks, a credibility-based secure data collection algorithm (CSDC) was presented. The trust values for all nodes are stored ...