activity
20242026
collaborators

7 papers

cs.CL2026

A Retrieval-Augmented Language Assistant for Unmanned Aircraft Safety Assessment and Regulatory Compliance

Gabriele Immordino, Andrea Vaiuso, Marcello Righi

This paper presents the design and validation of a retrieval-based assistant that supports safety assessment, certification activities, and regulatory compliance for unmanned aircr…

eess.SY2025

Methods for Multi-objective Optimization PID Controller for quadrotor UAVs

Andrea Vaiuso, Gabriele Immordino, Ludovica Onofri +2

Integrating unmanned aerial vehicles into daily use requires controllers that ensure stable flight, efficient energy use, and reduced noise. Proportional integral derivative contro…

cs.NI2024

Implementing an Optimized and Secured Multimedia Streaming Protocol in a Participatory Sensing Scenario

Andrea Vaiuso

Multimedia streaming protocols are becoming increasingly popular in Crowdsensing due to their ability to deliver high-quality video content over the internet in real-time. Streamin…

cs.LG2024

Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting

Gabriele Immordino, Andrea Vaiuso, Andrea Da Ronch +1

This study presents a framework for predicting unsteady transonic wing pressure distributions, integrating an autoencoder architecture with graph convolutional networks and graph-b…

cs.CE2024

Drone Acoustic Analysis for Predicting Psychoacoustic Annoyance via Artificial Neural Networks

Andrea Vaiuso, Marcello Righi, Oier Coretti +1

Unmanned Aerial Vehicles (UAVs) have become widely used in various fields and industrial applications thanks to their low operational cost, compact size and wide accessibility. How…

cs.CE2024

Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads

Andrea Vaiuso, Gabriele Immordino, Marcello Righi +1

Multi-fidelity models are becoming more prevalent in engineering, particularly in aerospace, as they combine both the computational efficiency of low-fidelity models with the high…