F. Fina, I. Nannipieri, A. Ria and F. Leccese, "Design LED Sensors for Fire Prevention in Aircraft Cabins," 2025 IEEE 12th International Workshop on Metrology for AeroSpace (MetroAeroSpace), Naples, Italy, 2025, pp. 379-383

Abstract: In this paper is developed an optical sensor that uses a LED-photodiode system with the aim of detecting the presence of a possible flame inside the overhead bins of aircrafts. Since the flame emits radiation at different wavelengths from VIS...

ViSketch-GPT: Collaborative Multi-Scale Feature Extraction for Hand-Drawn Sketch Retrieval.

Understanding the nature of hand-drawn sketches is challenging due to the wide variation in their creation. Federico et al. demonstrated that recognizing complex structural patterns enhances both sketch recognition and generation. Building on this...

ViSketch-GPT: Collaborative Multi-Scale Feature Extraction for Hand-Drawn Sketch Retrieval.

Understanding the nature of hand-drawn sketches is challengingUnderstanding the nature of hand-drawn sketches is challengingdue to the wide variation in their creation. Federico et al. [10]demonstrated that recognizing complex structural patterns...

A. Battaglia, N. Canino, P. Dini, G. Lombardo, F. Longo and D. Rossi, "Autoencoder-Based Detection of Physical-Layer Anomalies in Automotive CAN Networks," 2025 IEEE 31st International Symposium on On-Line Testing and Robust System Design (IOLTS).

The CAN protocol, widely used in vehicles, lacks authentication and encryption, making it prone to spoofing, injection, and denial-of-service attacks. This work proposes a detection method based on physical layer signal analysis and unsupervised...

L. Borgianni, D. Adami and S. Giordano, “Optimizing Network Performance and Reliability with an Integrated SD-WAN and Satellite 6G Architecture”, IEEE International conference on 6G Networking (6GNet), October 2023

Integrating Software-Defined Wide Area Networking (SD-WAN) and Satellite 6G can provide a new architecture offering improved performance and reliability for various applications. SD-WAN provides a flexible and efficient system to manage network traffic...

C. Bua, L. Borgianni, D. Adami and S. Giordano: "Empowering Remote Agriculture: Wearable Glove Control for Smart Hydroponic Greenhouses", IEEE 25th International Conference on High Performance Switching and Routing, July 2024

The agricultural sector is undergoing a significant transformation driven by technological advancements led by Agritech solutions. In this context, our study introduces the architecture of smart Hydroponic greenhouses. This work focuses on developing...

M. A. Ullah, L. Borgianni, H. Kokkinen, A. Anttonen, S. Giordano: “A First Look at Starlink In-Flight Performance: An Intercontinental Empirical Study”, arXiv preprint arXiv:2508.09839

Starlink delivers Internet services to users across terrestrial, maritime, and aviation domains. The prior works have studied its performance at fixed sites and in-motion vehicles, while an in-depth analysis of in-flight performance remains ab- sent....

L. Borgianni, C. Bua, E. Coli, D. Adami, S. Giordano: “On the Accuracy of Mininet: Comparing Net-work Emulation and Physical Testbeds for Distributed Systems”, 17th International congress on ultra modern Telecommunication and control systems 2025

The increasing complexity of modern distributed systems, spanning cloud computing, edge devices, and ultra-low latency applications, needs accurate and scalable network emulation. This comparative study analyzes the fidelity of one of the most popular...

C. Bua, L. Borgianni, D. Adami, S. Giordano: “Digital Twin for Remote Control of Robotic Arm via Wearable Glove in Smart Agriculture”, IEEE Wireless Communications and Networking Confer-ence (WCNC), 2024

Smart agriculture is experiencing rapid transformation through innovative Agritech solutions. Robotic Arms (RAs) and Sensor-equipped Wearable Gloves (SWGs) are critical tools for performing high-precision tasks in controlled environments like...

L. Borgianni, C. Bua, E. Coli, D. Adami, S. Giordano: “Efficient Distributed DNN for Extreme Edge Computing in Wildlife Monitoring”, IEEE 26th International Conference on High Performance Switching and Routing (HPSR), 2025

In rural areas such as national parks, forests, and mountains, recognizing and classifying wildlife is crucial for monitoring animals that may pose risks to crops and human safety. Deep learning provides the most accurate approach due to its dynamic...

L. Borgianni, D. Adami, S. Giordano: “Towards 6G: Adaptive and Resilient Network Management for Hybrid Terrestrial-Satellite Systems”, IEEE Network Operations and Management Symposium (NOMS), 2025

The digital divide remains one of the biggest challenges of the modern era, limiting access to information and global connectivity for populations in remote or rural regions. The doctoral research goes in the direction of an integrated approach to...

L. Borgianni, D. Adami, S. Giordano, C. Chafe: “Global Net Equity: The Role of LEO Satellites Towards 6G Connectivity Landscape”, IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2025

The evolution of Low Earth Orbit (LEO) satellite systems is poised to play a key role in shaping the concept of Global Net Equity in the 6G landscape. This paper explores the integration of LEO satellite connections within terrestrial and...

Md. A. Rahman, L. Borgianni, E. Marku, S. Mathew, O. Navadehrazi, E. Coli, D. Adami, S. Giordano: “Monitoring Wildlife in Remote Areas through LEO Satellites within a Cloud Continuum Perspec-tive”, IEEE Global Communications Conference (GlobeCom), 20

The preservation of biodiversity and the monitoring of remote ecosystems require autonomous and low-impact technological solutions. This work presents an integrated system for wildlife monitoring that combines solar-powered Edge AI smart cameras, local...

L. Borgianni, L. Boggioni, L. Monti, S. Giordano, S. Saponara, A. Caiti, A. Munafo, M. Ottella: “Experimental Analysis of Sub-GHz RF Communication for in-Water Wearables in Swimming Applications”, IEEE International Workshop on Sport Technology and

This paper investigates the experimental evaluation of sub-GHz radio frequency (RF) communication systems for wearable devices used in swimming applications. Specifically, we analyze the feasibility and performance of two frequency bands, 169 MHz and...

E. Khanlari, L. Borgianni, D. Adami, S. Giordano: “Decentralized Intelligence for Centralized Con-trol: Multi-Agent Reinforcement Learning for SD-WAN”, ACM 21st International Conference on Network and Service Management, 2025

Modern Software-Defined Wide Area Network (SD-WAN) deployments are required to manage traffic over heterogeneous underlay networks while meeting stringent Quality of Service (QoS) requirements. In scenarios where multiple branches share overlay...

L. Borgianni, C. Bua, D. Adami, S. Giordano: “Reconstructing the Sound at the Edge: A Low-Latency Framework for NMP with Autotuned Local Synthesis”, IEEE International Symposium on the Internet of Sounds, 2025

Networked Music Performance (NMP) systems aim to enable real-time collaboration between geographically distributed musicians. Traditional approaches transmit raw audio over IP networks, suffering from delay, jitter, and packet loss, which negatively...

Michele Zanoletti, Pasquale Bufano, Francesco Bossi, Francesco Di Rienzo, Carlotta Marinai, Gianluca Rho, Eleonora Melissa, Carlo Vallati, Nicola Carbonaro, Alberto Greco, Alessandro Tognetti, Marco Laurino. “Predicting Six-Minute-Walking-Distance in

Francesco Di Rienzo, Lucia Arcarisi, Francesco Bossi, Manuel Torres Brabo, Pasquale Bufano, Nicola Carbonaro, Alberto Greco, Carlotta Marinai, Eleonora Melissa, Gianluca Rho, Victor Segura Ruiz, Michele Zanoletti, Patricia Abril-Jiménez, Marco Laurin

Carlotta Marinai, Lucia Arcarisi, Francesco Bossi, Pasquale Bufano, Francesco Di Rienzo, Eleo-nora Melissa, Gianluca Rho, Michele Zanoletti, Alberto Greco, Marco Laurino, Carlo Vallati, Nicola Carbonaro, Alessandro Tognetti. “Smart Mattress Cover for

Michele Zanoletti, Carlo Vallati, Nicola Carbonaro, et al. “Real-World Gait Speed Estimation: an AI-based Approach for Adaptive Wearable Devices Integration.” TechRxiv, Preprint submi-tted to IEEE Access, September 4, 2025.