Wifi probes sniffing: an artificial intelligence based approach for mac addresses de-randomization M Uras, R Cossu, E Ferrara, O Bagdasar, A Liotta, L Atzori 2020 IEEE 25th International Workshop on Computer Aided Modeling and Design …, 2020 | 38 | 2020 |
PmA: A real-world system for people mobility monitoring and analysis based on Wi-Fi probes M Uras, R Cossu, E Ferrara, A Liotta, L Atzori Journal of Cleaner Production 270, 122084, 2020 | 26 | 2020 |
PmA: a solution for people mobility monitoring and analysis based on WiFi probes M Uras, R Cossu, L Atzori 2019 4th International Conference on Smart and Sustainable Technologies …, 2019 | 24 | 2019 |
A SIoT-aware approach to the resource management issue in mobile crowdsensing L Atzori, R Girau, S Martis, V Pilloni, M Uras 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN …, 2017 | 20 | 2017 |
Assignment of sensing tasks to IoT devices: Exploitation of a social network of objects L Atzori, R Girau, V Pilloni, M Uras IEEE Internet of Things Journal 6 (2), 2679-2692, 2018 | 16 | 2018 |
MAC address de-randomization for WiFi device counting: Combining temporal-and content-based fingerprints M Uras, E Ferrara, R Cossu, A Liotta, L Atzori Computer Networks 218, 109393, 2022 | 12 | 2022 |
Mobility Analysis during the 2020 Pandemic in a Touristic city: the Case of Cagliari E Ferrara, M Uras, L Atzori, O Bagdasar, A Liotta 2021 IoT Vertical and Topical Summit for Tourism, 1-6, 2021 | 3 | 2021 |
A Blockchain-based Data Notarization System for Smart Mobility Services R Cossu, MI Lunesu, M Uras, A Floris 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 2 | 2022 |
Monitoring People’s Mobility in the Cities: A Review of Advanced Technologies L Pintor, M Uras, G Colistra, L Atzori Information and Communications Technologies for Smart Cities and Societies …, 2023 | 1 | 2023 |
Data traffic analysis to monitor and understand the people's mobility in Smart Cities M Uras Università degli Studi di Cagliari, 2022 | | 2022 |
Sviluppo di algoritmi per il Mobile Crowdsensing basati sul consumo dell’energia e sulla posizione L Atzori, M Uras | | |