Organizations today rely heavily on data to inform their decision-making processes at every level. However, the increasing complexity of data ecosystems poses a challenge: The data we rely on may not ...

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Unlike pattern-matching, which is about spotting connections and relationships, when we detect anomalies we are seeing disconnections—things that do not fit together. Anomalies get much less attention ...

The production and operation of offshore oil wells present typical characteristics of strong coupling, high nonlinearity, obvious time-varying behavior, and high operational risks. The occurrence of ...

Professor Gao Zhi's research team from the School of Remote Sensing and Information Engineering at Wuhan University in Hubei province recently won first place at the visual anomaly and novelty ...