Abstract: Tensor robust principal component analysis (TRPCA) is a fundamental model in machine learning and computer vision. Recently, tensor train (TT) decomposition has been verified effective to ...

Abstract: Anomaly detection has been an important research topic in data mining and machine learning. Many real-world applications such as intrusion or credit card fraud detection require an effective ...

For decades, ramp operations have been treated as routine logistics: a cycle of fueling, catering, baggage handling, and pushback. These activities, while essential, have long operated behind the ...

Electrification of GSE is moving from pilot projects to mandatory procurement, with significant improvements in battery technology and charging infrastructure supporting this shift. Autonomous systems ...

Tuberculosis, caused by the bacterium Mycobacterium tuberculosis (Mtb), is the world's deadliest single-agent infection, ...

Even as they adopt AI, companies are measuring employee performance with familiar metrics of success: productivity, goal ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...