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 ...

Lantern Pharma Inc. (NASDAQ: LTRN), a clinical-stage, AI-driven precision oncology company, today announced the launch of ZetaOmics, the computational-biology module of its multi-agentic AI ...

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

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

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

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

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

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