activity
20162026
most citedAn Outlook on the Future Marine Traffic Management System for Autonomous Ships

72 citations · 147 across the 14 of their papers we have counts for

collaborators

14 papers

cs.AI2026

Black-Mamba: Biologically-Inspired Leaky Accumulation for Conceptual Knowledge under Distribution Drift

Giuseppe Soriano, Nicola Tonellotto, Alberto Gotta

Forecasting under real-world conditions is inherently non-stationary, as the conditional distribution of future observations evolves over time. Recent test-time adaptive sequence m…

cs.NI2026

On Dual Connectivity in 6G Leo Constellations

Achilles Machumilane, Alberto Gotta

Dual connectivity (DC) has garnered significant attention in 5G evolution, allowing for enhancing throughput and reliability by leveraging the channel conditions of two paths. Howe…

cs.NI2025

Handover and SINR-Aware Path Optimization in 5G-UAV mmWave Communication using DRL

Achilles Kiwanuka Machumilane, Alberto Gotta, Pietro Cassarà

Path planning and optimization for unmanned aerial vehicles (UAVs)-assisted next-generation wireless networks is critical for mobility management and ensuring UAV safety and ubiqui…

cs.NI2023

A Federated Channel Modeling System using Generative Neural Networks

Saira Bano, Pietro Cassarà, Nicola Tonellotto +1

The paper proposes a data-driven approach to air-to-ground channel estimation in a millimeter-wave wireless network on an unmanned aerial vehicle. Unlike traditional centralized le…

cs.NI2023★ 2 cited

How Generative Models Improve LOS Estimation in 6G Non-Terrestrial Networks

Saira Bano, Achilles Machumilane, Pietro Cassarà +1

With the advent of 5G and the anticipated arrival of 6G, there has been a growing research interest in combining mobile networks with Non-Terrestrial Network platforms such as low…

cs.NI2022

Exploring Machine Learning for Classification of QUIC Flows over Satellite

Raffaello Secchi, Pietro Cassarà, Alberto Gotta

Automatic traffic classification is increasingly important in networking due to the current trend of encrypting transport information (e.g., behind HTTP encrypted tunnels) which pr…

cs.NI2022★ 72 cited

An Outlook on the Future Marine Traffic Management System for Autonomous Ships

Michele Martelli, Antonio Virdis, Alberto Gotta +2

In the shipping digitalisation process, the peak will be reached with the advent of a wholly autonomous and at the same time safe and reliable ship. Full autonomy could be obtained…

cs.LG2022

Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks

Saira Bano, Achilles Machumilane, Lorenzo Valerio +2

Automatic traffic classification is increasingly becoming important in traffic engineering, as the current trend of encrypting transport information (e.g., behind HTTP-encrypted tu…

cs.NI2022★ 1 cited

Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery

Achilles Machumilane, Alberto Gotta, Pietro Cassarà +2

Reinforcement Learning (RL) has recently found wide applications in network traffic management and control because some of its variants do not require prior knowledge of network mo…

cs.AI2022★ 5 cited

AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving

Valerio De Caro, Saira Bano, Achilles Machumilane +11

This paper presents a proof-of-concept implementation of the AI-as-a-Service toolkit developed within the H2020 TEACHING project and designed to implement an autonomous driving per…

cs.LG2021★ 1 cited

Federated Feature Selection for Cyber-Physical Systems of Systems

Pietro Cassarà, Alberto Gotta, Lorenzo Valerio

Autonomous vehicles (AVs) generate a massive amount of multi-modal data that once collected and processed through Machine Learning algorithms, enable AI-based services at the Edge.…

cs.AI2021

TEACHING -- Trustworthy autonomous cyber-physical applications through human-centred intelligence

Davide Bacciu, Siranush Akarmazyan, Eric Armengaud +32

This paper discusses the perspective of the H2020 TEACHING project on the next generation of autonomous applications running in a distributed and highly heterogeneous environment c…

cs.NI2017★ 39 cited

Application Protocols enabling Internet of Remote Things via Random Access Satellite Channels

Manlio Bacco, Marco Colucci, Alberto Gotta

Nowadays, Machine-to-Machine (M2M) and Internet of Things (IoT) traffic rate is increasing at a fast pace. The use of satellites is expected to play a large role in delivering such…

cs.NI2016★ 27 cited

M2M Traffic via Random Access Satellite links: Interactions between Transport and MAC Layers

Manlio Bacco, Tomaso De Cola, Giovanni Giambene +1

Machine-to-machine services are witnessing an unprecedented diffusion, which is expected to result in an ever-increasing data traffic load. In this context, satellite technology is…