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 ...

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 ...

Imagimob AI, a development platform for building tinyML applications for edge devices, adds support for deep learning anomaly detection. Deep anomaly detection—the identification of rare items, events ...

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 ...

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...