Explore our projects & studies
Explore our projects & studies
From Artificial Intelligence to Human-Computer Interaction and Software Architecture, our research team tackles complex problems across many domains. We seek at providing the best of modern technology for public services, health-care and industry.
Optimizing Maintenance Planning for CARL Software
The management of the maintenance interventions planning is complicated. A large set of constraints must be considered when managing the plan such as the adequacy between skills and intervention acts, the respect of contracts and the availability of technicians, etc. As a result, the production of a plan becomes a
AI and Edge Computing at the service of IoT : Realization of an Augmented Sensor
Within the framework of a research & innovation working partnership on AI (Artificial Intelligence) and Edge Computing, the Adeunis and CARL/Berger-Levrault R&D teams have been working together for several months. CARL/Berger-Levrault is a European leader in equipment management (CMMS/EAM) and technical asset management, while Adeunis is a specialist in radio
🇫🇷 Semantic Search for Actes Office
Démonstration: L’Intelligence Artificielle et la Recherche d’Information au service de BL.ActesOffice Le module présenté dans cette démonstration permet de rechercher des documents sur une partie de la base d’ActesOffice en se basant sur des techniques appartenant au domaine de l’intelligence artificielle (IA), du traitement automatique des langues (TAL) et de
Optimization for Inter and Intra Hospital Logistics – OIILH
Automatic software migration: Business/services
Mono2Micro: From Monolithic Software to Versatile Microservices Over the past decade, there has been a significant paradigm shift towards cloud computing and web services. As organizations try to keep up with the latest trends, there has been a demand for shifting legacy systems to the Cloud. The microservice-oriented architecture (MSA) is a
Automatic Detection of Anomalies in systems behaviors
Nowadays, industrial systems maintenance uses the principle of Digital Twin to predict future issues. Sensors placed on the different parts of the system emit a signal that characterize its behavior. The study of these time signals in real time allow us to detect unusual behaviors preceding a breakdown. However, the
🇫🇷 Detection d’erreurs par Intelligence Artificielle dans les fiches de paie
Démonstration: L’Intelligence Artificielle au service de la Paie Le module présenté dans cette démonstration permet de détecter des anomalies liées aux fiches de paie et cela grâce à un modèle d’apprentissage automatique (Machine Learning).Un échantillon d’une base existante peut être chargé par défaut. La possibilité de charger une nouvelle base
