Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

The diagram for ... Load Identification Algorithm Based on Feature Fusion and Deep Learning. Automation of Electric Power Systems, 44, 103-110. [15] Rao, C.P. and Liu, Y. (2020) Three-Dimensional ...

Researchers have successfully employed an algorithm to identify potential ... identifies "open" regions of the genome, and PRINT, a deep-learning-based method to detect these types of footprints ...

We’re developing a deep learning model that should be able to predict the plasma’s behavior in a split second, but this is still a work in progress. In the past couple of years, my group has developed ...

Sign up for CNN’s Wonder Theory science newsletter. Explore the universe with news on fascinating discoveries, scientific advancements and more. Scientists have ...

Not spending enough time in the two deep stages of sleep — slow-wave and ... made simple. Sign up for CNN’s Life, But Better newsletter for information and tools designed to improve your ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...