Models of nonlinear acoustics viewed as an approximation of the Navier-Stokes and Euler compressible isentropic systems

Mixed boundary valued problem for linear and nonlinear wave equations in domains with fractal boundaries

Dirichlet boundary valued problems for linear and nonlinear wave equations on arbitrary and fractal domains

Wave propagation and fractal boundary problems: mathematical analysis and applications

Optimal absorption of acoustical waves by a boundary

Layer potential operators for transmission problems on extension domains

Existence of optimal shapes for heat diffusions across irregular interfaces

Method for detecting blocked meters in a distribution network

Process for monitoring the concentration of bacteria in a water distribution network

Method for determining a dose of coagulant for treating raw water

A decomposition based minimax regret approach for inverse multiple criteria sorting problem

An interactive algorithm for resource allocation with balance concerns

Transformations de graphes décorés

Test-Time Adaptation with Principal Component Analysis

Spatial Contrastive Learning for Few-Shot Classification

Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding

Leveraging conditional generative models in a general explanation framework of classifier decisions

Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning

Target Consistency for Domain Adaptation: when Robustness meets Transferability

Distanceless Label Propagation: an Efficient Direct Connected Component Labeling Algorithm for GPUs

Discrete-time Simulation of Stochastic Volterra Equations

On the discrete-time simulation of the rough Heston model

Approximate Bayesian Inference using the Mean-Field Distribution

Optimal control of non-smooth greenhouse models

Full Bayesian inference in hidden Markov models of plant growth

Bayesian Estimation for the GreenLab Plant Growth Model with Deterministic Organogenesis

Predicting tomato water consumption in a hydroponic greenhouse: contribution of light interception models

A Study on New Trends in Systems Modeling based on 850 Students' Interest

800 students using Matlab during a new course on Systems Modeling at CentraleSupélec

On the Mean-Field Belavkin Filtering Equation

An Overview of Deep Semi-Supervised Learning

High Performance Computing for Computational Mechanics

Second-Order Beurling Approximations and Super-Resolution from Bandlimited Functions

The condition number of weighted non-harmonic Fourier matrices with applications to super-resolution

Local Geometry of Nonconvex Spike Deconvolution from Low-Pass Measurements

Performance evaluation and Congestion Analysis in IoT Network: Simulation and Emulation approach

Predictive Modeling of Loss Ratio for Congestion Control in IoT Networks Using Deep Learning

Online estimation of Hilbert-Schmidt operators and application to kernel reconstruction of neural fields

Further remarks on KKL observers

Stability Analysis of a Class of Discontinuous Discrete-Time Systems

Shiny and Galaxy interactive software for multi-source data analysis

Advances on RGCCA

De l’Automatique dans les synapses - Stratégies de stimulation cérébrale en boucle fermée pour le traitement de maladies neurologiques

ISS-Stabilization of Delayed Neural Fields by Small-Gain Arguments

Deinterleaving and Clustering unknown RADAR pulses

RADAR Emitter Classification with Optimal Transport Distances

Deinterleaving RADAR emitters with optimal transport distances

Désentrelacement et classification des émetteurs RADARs basés sur l'utilisation des distances de Transport Optimal

Désentrelacement et classification de signaux RADAR basés sur des distances de transport optimal

Estimation des paramètres d'un prior Bernoulli-Gaussien en problèmes inverses