In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Background Comparative evidence on the diagnostic yield of endobronchial ultrasound (EBUS)-guided sampling techniques for ...

Abstract: High-dimensional signal processing and data analysis have been appealing to researchers in recent decades. Outlier detection and sample-size determination are two essential pre-processing ...

For many Ohio livestock operations, hay remains one of the largest and most important feed resources on the farm. Yet hay quality can vary widely depending ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

In the early morning hours of Nov. 9, 2016, news networks called Wisconsin for Donald Trump, cementing his victory over Hillary Clinton. Most voters were surprised, both candidates were shocked and ...

A research team from the Chinese Academy of Sciences proposed PLSaoNET, a general method that provides neural networks a statistically meaningful ...

At first glance, recent news stories may appear to spell doom for the polling industry. Instead of asking real people for their opinions, some companies are asking artificial intelligence what people ...