Neural network-based approximation, aiming to use neural networks to approximate some computation in applications or generate meaningful initial states of …

Graphs are prevalent in various domains to describe complex relationships among entities and have been used widely in many real-world …

Nowadays, the security community is facing challenges from not only lone individuals, but also organizations with strategic agendas, which have …

Binary classifiers appear in various applications such as learning, estimation, data compression, and hypothesis testing. A binary classifier computes a …

Safety and dependability are a crucial issue in many industries, which has led to the development of a huge literature …

Scattering of light is a ubiquitous process that has driven human minds’ curiosity for thousands of years, from ancient Greek …

The AmLight Express and Protect (AmLight-ExP) network links the scientific Research and Education (R&E) communities in the U.S. to Latin …

There has been a lot of research work that applies computational models to explore patterns and data from various sources …