1ère Journée des Doctorants et Post-doctorants du programme DATA de l'I-site CAP 20-25

Session

Anomaly Detection

26 févr. 2026, 10:50

Amphi 1 (Pôle Commun)

Présidents de session

Anomaly Detection

• Durande Berluskoni KAMGA NGUIFO (Université clermont Auvregne)

25. Development of Statistical and Predictive Models for Anomaly Detection and Quality Control Improvement Based on Heterogeneous Industrial Data in Medical Device Manufacturing

26/02/2026 10:50

Contribution orale

This postdoctoral research is conducted within the Laboratory of Computer Science, Modeling and Optimization of Systems (LIMOS) and falls within one of its research themes, Data, Services and Intelligence (DSI), in close alignment with the activities of the Department of Mathematical and Industrial Engineering. It focuses on the optimization of quality control processes in medical textile...

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

26/02/2026 11:10

Contribution orale

Field: AI, Affiliation: UCA

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 electromagnetic radiation, producing spectral data streams or a...

20. Characterization and anomaly detection in daily cow activities using wavelet-based features

26/02/2026 11:30

Contribution orale

Anomaly detection in the day-to-day activity of dairy cows
is challenging, as true abnormal behavior must be distinguished from
the individual variability and the animals’ endogenous rhythms. Current
algorithms for anomaly detection in times series include various tech
niques, with neural network-based methods being the most prominent.
However, these approaches lack interpretability,...