Institut de Recherche en Informatique Mathématiques Automatique Signal (IRIMAS) - UR 7499

Domaines scientifiques déclarés au RNSR

Panels ERC déclarés au RNSR

Mots-clés des publications HAL repérées

Projets ANR

• Precision AgriVoltaics for Carbon Neutrality Enhanced Production and Reduced Environmental Impact in Greenhouse · 2024
• Repousser les Limites Usuelles Concernant l'Avenir des Réseaux Ubiquitaires · 2024
• Microscopie Multimodale Assistée par Ordinateur afin de Quantifier la Diffusion Moléculaire en Cellules · 2024

Publications HAL récentes repérées

• The football model, stochastic ordering and martingale transport · 2026

  Résumé de la publication : Tournaments are competitions between a number of teams, the outcome of which determines the relative strength or rank of each team. In many cases, the strength of a team in the tournament is given by a score. Perhaps, the most striking mathematical…

• On characteristic foliations of metric contact-symplectic structures · 2026

  Résumé de la publication : We study compatible and associated metrics for a contact-symplectic pair $(η, ω)$ on a manifold. We show that the integral curves of the Reeb vector field are geodesics for any compatible metric. We prove that all associated metrics share a common volume…

• Topological optimization and boundary observation for clamped plates · 2026

  Résumé de la publication : We indicate a new fixed domain approach to the optimization of the clamped plates with holes, that is, the shape/topology optimization problem associated to the corresponding fourth-order model with Dirichlet boundary conditions. It is based on the use of Hamiltonian systems and…

• Pointwise boundary observation in geometric optimization problems associated to variational inequalities · 2026

  Résumé de la publication : We discuss optimal design problems governed by variational inequalities with unilateral conditions in the domain and involving pointwise boundary observation. We use penalization techniques in the frame of the Hamiltonian approach to shape/topology optimization problems. For the regularization of the penalized problem,…

• A multi-objective federated learning framework : toward efficient and adaptive energy management in smart buildings · 2026

  Résumé de la publication : Federated Learning (FL) has emerged as a transformative paradigm in machine learning, enabling decentralized and privacy-preserving collaborative training across distributed clients. Unlike conventional centralized approaches that require transferring raw data to a central server, FL allows clients to retain data locally while…