Julien Ah-Pine

OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams

Monitoring the elemental composition of materials in order to detect abnormal conditions in real-time is essential for applications like manufacturing quality control, environmental monitoring, and space exploration. This is achieved using sensors that analyze the interaction of a material with elec