Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...

Researchers review the recent advances of deep learning-basedimage anomaly detection since the rapid development ofdeep learning can bring the capabilities of image anomaly detection into the factory ...

A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy In Computer Science and Engineering. This dissertation focuses on improving anomaly detection ...

Anomaly detection in the context of data science is detecting a data sample that is out of the ordinary and does not fit into the general data pattern (or an outlier). This deviation can result from a ...

Identifying anomalies in the operations of computer systems that control critical safety and security functions calls for extensive expertise, and the actions required need to be tested, analysed and ...

In 2007, something strange happened over the eastern Atlantic Ocean. According to satellites orbiting Earth, our planet's gravity field developed a continent-scale anomaly before subsiding to its ...