Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance

Learning-Based Methods and the Future of Numerical Ocean and Sea-Ice Modeling

The field of operational oceanography is undergoing a significant evolution with the increasing integration of artificial intelligence (AI) methods, which are complementing and, in some cases, redefining traditional numerical modeling approaches. This review explores how AI metho...

Neurofeedback-induced network plasticity in motor and default mode networks correlates with motor recovery after stroke

Abstract Stroke often results in long-term motor impairments, necessitating innovative rehabilitation strategies. Neurofeedback (NF) has emerged as a promising tool to promote functional recovery after stroke by enabling patients to modulate targeted brain activity. In this study...

A Feature Model-Based Reference Architecture for Data Lake Ingestion: A Variability Management Approach

The growth of big data ecosystems has shifted the classical paradigm of selective storage toward an approach that preserves large volumes of heterogeneous data for subsequent exploitation, thereby strengthening the adoption of repositories such as data warehouses and, particularl...

Fast and Scalable Air Quality Neural Emulator for High‐Resolution Predictions on Very Large Domains

Abstract This research explores the development and implementation of SIRANet, an advanced deep learning‐based emulator designed for fine‐scale air quality modeling. Leveraging the computational efficiency of neural networks, SIRANet builds upon the established SIRANE atmospheric...