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20242026
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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…

cs.CE2024

Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks

Gabriele Immordino, Andrea Vaiuso, Andrea Da Ronch +1

This paper focuses on addressing challenges posed by non-homogeneous unstructured grids, commonly used in Computational Fluid Dynamics (CFD). Their prevalence in CFD scenarios has…