Luigi Serreli

According to our database, Luigi Serreli authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

WebRTC-QoE: A Dataset of Quality of Experience in Audio-Video Communications.

Gülnaziye Bingöl, Luigi Serreli, Simone Porcu, Alessandro Floris, Luigi Atzori

Dataset, March, 2024

A Generative Adversarial Network (GAN) Fingerprint Approach Over LTE.

Luigi Serreli, Mauro Fadda, Roberto Girau, Pietro Ruiu, Daniele D. Giusto, Matteo Anedda

IEEE Access, 2024

2023

Global News 60K.

Luigi Serreli, Claudio Marche, Michele Nitti

Dataset, October, 2023

Implementation of a Multi-Approach Fake News Detector and of a Trust Management Model for News Sources.

Claudio Marche, Ilaria Cabiddu, Christian Giovanni Castangia, Luigi Serreli, Michele Nitti

IEEE Trans. Serv. Comput., 2023

Robust QUIC-Based Signalling for WebRTC in Impaired Networks.

Luigi Serreli, Gülnaziye Bingöl, Simone Porcu, Alessandro Floris, Marco Martalò

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2023

2022

The Impact of Network Impairments on the QoE of WebRTC applications: A Subjective study.

Gülnaziye Bingöl, Luigi Serreli, Simone Porcu, Alessandro Floris, Luigi Atzori

Proceedings of the 14th International Conference on Quality of Multimedia Experience, 2022

Fake News Detection based on Blockchain Technology.

Claudio Marche, Ilaria Cabiddu, Christian Giovanni Castangia, Luigi Serreli, Michele Nitti

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

2021

Smart Cities Mobility Monitoring through Automatic License Plate Recognition and Vehicle Discrimination.

Michele Spanu, Marco Bertolusso, Gülnaziye Bingöl, Luigi Serreli, Christian Giovanni Castangia, Matteo Anedda, Mauro Fadda, Massimo Farina, Daniele D. Giusto

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2021

Fingerprint-based Positioning Method over LTE Advanced Pro Signals with GAN training contribute.

Luigi Serreli, Roberto Nonnis, Gülnaziye Bingöl, Matteo Anedda, Mauro Fadda, Daniele D. Giusto

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2021