Search
3631 Résultats pour votre recherche
Defense of Hajer SRIHI's thesis
Defense of the thesis "Stratégies de stabilité en position assise chez les personnes vivant avec une lésion de la moelle épinière : de l'estimation utilisant des modèles descripteurs quasi-LPV à la validation expérimentale" by Hajer SRIHI, doctoral student in the automatic control department at LAMIH.
The defence will take place on Thursday 21 December 2023 at 10 a.m. in Amphithéâtre 70 A in the Bâtiment Abel de Pujol 2 - Le Mont Houy, Valenciennes.
Published on 20/12/2023
Defense of thesis "Adaptive shared control and development of personalized driving strategies for the automated vehicle: a progressive learning approach".
Autonomous driving is attracting growing interest. However, the full deployment of these vehicles depends on their reliability in all situations, which requires driver supervision. This raises crucial questions about human-machine interaction, and the thesis is part of the ANR-CoCoVeIA project (2019-2024) coordinated by LAMIH.
Published on 19/12/2023
Salon de l'Etudiant : Lille
Salon de l'Etudiant de Lille from January 18 to 20
Published on 19/12/2023
Open Day 2024
The Université Polytechnique Hauts-de-France is holding its Open Day on February 10, 2024.
Published on 19/12/2023
Powers: knowledge, actors, arbitration" theme
Published on 19/12/2023
Discover the "Right first time" manufacturing process
Published on 19/12/2023
A look back at the visit of Adeline Nazarenko, CNRS Director of Computer Sciences at LAMIH
On November 29, LAMIH was honored to welcome Ms Adeline Nazarenko, Director CNRS Sciences Informatiques accompanied by Marian Scuturici, Deputy Scientific Director industrial partnerships, valorization, platform monitoring, software.
Published on 18/12/2023
Defense of thesis "Modeling of an artificial intelligence-based decision support for cyber-physical systems: Application to maintenance in the transportation field"".
The development of the Internet of Things (IOT) and cyber-physical systems (CPS) has created challenges, mainly related to massive data management and decision-making. The development of approaches such as Data Analytics and Machine Learning, however, offers solutions by identifying "hidden" patterns or features within this massive data.
Published on 14/12/2023
Thesis defense "Unsupervised deep learning: Application to the detection of abnormal situations in the autonomous train environment".
The thesis addresses the challenges of environment monitoring and anomaly detection, especially obstacles, for an autonomous freight train.
Published on 14/12/2023