The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity sometimes referred to as a "brain tsunami." UC's Jed Hartings ...

The remaining data is then analyzed using anomaly detection techniques to identify suspicious patterns that do ... improving threat recognition while reducing reliance on a single point of failure.

Machine learning (ML) encompasses a suite of advanced techniques capable of automatically discerning patterns within data and leveraging ... processing, and analytical flowchart as illustrated in ...

Introduction: Over the past few decades, China has vigorously advanced its strategy to build a powerful transportation network, constructing and maintaining numerous slope engineering projects.

After decades of frustration, machine-learning tools are unlocking a treasure trove of acoustic data for ecologists. A small songbird soars above Ithaca, New York, on a September night.

Machine learning algorithms are a powerful tool for detecting anomalies in network traffic structure. In this way they can support the early identification of potential attacks But what is anomaly ...

In contrast, statistical models rely on historical data to identify patterns and correlations that can be used to predict future ENSO events. These models, including machine learning and ... the ...

This review paper provides a thorough analysis of the progress achieved in this interdisciplinary field in recent years, namely in the areas of machine learning, computer vision, and pattern ...