Network-wide traffic flow, which represents the dynamic traffic volumes on each link of a road network, is fundamental to smart cities. However, the ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Abstract: Accurate channel state information (CSI) prediction is critical for massive MIMO systems operating under high user mobility. In this letter, we adapt the evolving relational attention ...

Abstract: Accurate short-term predictions of active mode traffic are crucial for effective urban traffic control and management, helping to reduce delays, stops, and improve travel time reliability, ...

Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, ...

Many real-world networks change dynamically but can be notoriously difficult to study. We introduce a graph edit process that, at each step, randomly selects and applies an edit (e.g., adding or ...

The song has been streamed over 3 million times in under a month. A song created through artificial intelligence has made history topping a Billboard country music chart, but it has also sent ...

Introduction: Sleep disorders pose significant risks to patient safety, yet traditional polysomnography imposes substantial discomfort and laboratory constraints. We developed a non-invasive ...

A report from the CMS experiment. Fig. 1. The performance of a transformer network tagger for identifying large-radius jets containing two b-quarks (for example, from an X → bb decay), compared with ...

ABSTRACT: Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex ...