8 papers
Protein Representation Learning with Secondary-Structure and Energy-Filtered Hydrogen-Bond Graphs
Mohamed Mouhajir, Limei Wang, El Houcine Bergou +3
Graph-based representations are widely used in protein modeling, yet many existing approaches rely primarily on sequence adjacency or geometric proximity, which only partially refl…
Semantic-Aware UAV Command and Control for Efficient IoT Data Collection
Assane Sankara, Daniel Bonilla Licea, Hajar El Hammouti
Unmanned Aerial Vehicles (UAVs) have emerged as a key enabler technology for data collection from Internet of Things (IoT) devices. However, effective data collection is challenged…
FairEnergy: Contribution-Based Fairness meets Energy Efficiency in Federated Learning
Ouiame Marnissi, Hajar EL Hammouti, El Houcine Bergou
Federated learning (FL) enables collaborative model training across distributed devices while preserving data privacy. However, balancing energy efficiency and fair participation w…
Just Few States are Enough: Randomized Sparse Feedback for Stability of Dynamical Systems
Zaid Hadach, Hajar El Hammouti, El Houcine Bergou +1
While classical control theory assumes that the controller has access to measurements of the entire state (or output) at every time instant, this paper investigates a setting where…
Free-Space Optical Communication-Driven NMPC Framework for Multi-Rotor Aerial Vehicles in Structured Inspection Scenarios
Giuseppe Silano, Daniel Bonilla Licea, Hajar El Hammouti +1
This paper introduces a Nonlinear Model Predictive Control (NMPC) framework for communication-aware motion planning of Multi-Rotor Aerial Vehicles (MRAVs) using Free-Space Optical…
Robust Planning and Control of Omnidirectional MRAVs for Aerial Communications in Wireless Networks
Giuseppe Silano, Daniel Bonilla Licea, Hajar El Hammouti +2
A new class of Multi-Rotor Aerial Vehicles (MRAVs), known as omnidirectional MRAVs (o-MRAVs), has gained attention for their ability to independently control 3D position and orient…