Contrôles essais mesures : L’opérateur (assisté), au coeur de l’industrie du futur (Lien)
Houssem Eddine Saidi
December 6, 2021
Tag: BL.Predict
How to apply Christoffel-Darboux kernel on online anomaly detection with few parameterization
Kevin Ducharlet
September 23, 2021
Incremental properties Kevin Ducharlet is Ph.D. Candidate in the DRIT team. Since a year and a half, he started his
What is Federated Learning?
Hamza Safri
January 26, 2021
Nowadays, a massive amount of data is generated by devices such as smartphones and connected objects (IoT). This data is
Smart Maintenance: IA Hybridization for diagnosis and prognosis of the state of the equipment
Youssef Miloudi
September 25, 2020
As you know CARL Berger-Levrault is doing research and work for the future industry and in particular the maintenance function.One
Adaptative Maintenance: CARL’S IoT Platform
Youssef Miloudi
July 31, 2020
In 2016, industrial customers have asked us about our vision of the industry of the future, and in particular the
AI & Data analysis for predictive maintenance of sewerage pumping system
Youssef Miloudi
May 19, 2020
The International Asset Performance 4.0 Conference will be held from 15 to 17 September 2020 in Belgium. On this occasion, several companies have come together to organize a Hackathon. Among them is Aquafin, a Flemish specialist in wastewater treatment. Their objective is to improve the daily
AI and Edge Computing at the service of IoT : Realization of an Augmented Sensor
Youssef Miloudi
April 22, 2020
Within the framework of a research & innovation working partnership on AI (Artificial Intelligence) and Edge Computing, the Adeunis and
Automatic Detection of Anomalies in systems behaviors
Kevin Ducharlet
October 10, 2019
Nowadays, industrial systems maintenance uses the principle of Digital Twin to predict future issues. Sensors placed on the different parts
