355 citations
- Czech Technical University in PragueCZ218 papers
- Mohammed V UniversityMA216 papers
- Université Paris CitéFR212 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT209 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT209 papers
- National Institute for Subatomic PhysicsNL209 papers
- Comenius University BratislavaSK208 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di NapoliIT208 papers
- Jagiellonian UniversityPL208 papers
- National Centre of Scientific Research "Demokritos"GR208 papers
- Tbilisi State UniversityGE208 papers
- Université Paris-SaclayFR208 papers
4 papers · 1 filter
Lightweight Intrusion Detection in IoT via SHAP-Guided Feature Pruning and Knowledge-Distilled Kronecker Networks
Hafsa Benaddi, Mohammed Jouhari, Nouha Laamech +2
The widespread deployment of Internet of Things (IoT) devices requires intrusion detection systems (IDS) with high accuracy while operating under strict resource constraints. Conve…
PINN-Obs: Physics-Informed Neural Network-Based Observer for Nonlinear Dynamical Systems
Ayoub Farkane, Mohamed Boutayeb, Mustapha Oudani +1
State estimation for nonlinear dynamical systems is a critical challenge in control and engineering applications, particularly when only partial and noisy measurements are availabl…
Early Exiting Predictive Coding Neural Networks for Edge AI
Alaa Zniber, Mounir Ghogho, Ouassim Karrakchou +1
The Internet of Things is transforming various fields, with sensors increasingly embedded in wearables, smart buildings, and connected equipment. While deep learning enables valuab…
Deep Learning for Mean Field Games with non-separable Hamiltonians
Mouhcine Assouli, Badr Missaoui
This paper introduces a new method based on Deep Galerkin Methods (DGMs) for solving high-dimensional stochastic Mean Field Games (MFGs). We achieve this by using two neural networ…