Andrea Toma

According to our database, Andrea Toma authored at least 13 papers between 2014 and 2024.

Collaborative distances:

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

2024

A broadcast sub-GHz framework for unmanned aerial vehicles clock synchronization.

Niccolò Cecchinato, Ivan Scagnetto, Andrea Toma, Carlo Drioli, Gian Luca Foresti

Integr. Comput. Aided Eng., 2024

2023

Performance evaluation of a Wi-Fi-based multi-node network for distributed audio-visual sensors.

Niccolò Cecchinato, Andrea Toma, Carlo Drioli, Giovanni Ferrin, Gian Luca Foresti

Multim. Tools Appl., 2023

2022

Efficient Detection and Localization of Acoustic Sources with a low complexity CNN network and the Diagonal Unloading Beamforming.

Andrea Toma, Daniele Salvati, Carlo Drioli, Gian Luca Foresti

Proceedings of the International Joint Conference on Neural Networks, 2022

Onboard Audio and Video Processing for Secure Detection, Localization, and Tracking in Counter-UAV Applications.

Andrea Toma, Niccolò Cecchinato, Carlo Drioli, Giuseppe Oliva, Giovanni Ferrin, Gianluigi Sechi, Gian Luca Foresti

Proceedings of the International Conference on Military Communication and Information Systems, 2022

A Secure Real-time Multimedia Streaming through Robust and Lightweight AES Encryption in UAV Networks for Operational Scenarios in Military Domain.

Niccolò Cecchinato, Andrea Toma, Carlo Drioli, Giuseppe Oliva, Gianluigi Sechi, Gian Luca Foresti

Proceedings of the International Conference on Military Communication and Information Systems, 2022

2021

CNN-Based Processing of Acoustic and Radio Frequency Signals for Speaker Localization from MAVs.

Andrea Toma, Daniele Salvati, Carlo Drioli, Gian Luca Foresti

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020

PHY-layer Security in Cognitive Radio Networks through Learning Deep Generative Models: an AI-based approach.

Andrea Toma

PhD thesis, 2020

AI-Based Abnormality Detection at the PHY-Layer of Cognitive Radio by Learning Generative Models.

Andrea Toma, Ali Krayani, Muhammad Farrukh, Haoran Qi, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni

IEEE Trans. Cogn. Commun. Netw., 2020

Deep Learning for Spectrum Anomaly Detection in Cognitive mmWave Radios.

Andrea Toma, Ali Krayani, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

2019

Interference mitigation in wideband radios using spectrum correlation and neural network.

Andrea Toma, Tassadaq Nawaz, Yue Gao, Lucio Marcenaro, Carlo S. Regazzoni

IET Commun., 2019

Exploiting ST-Based Representation for High Sampling Rate Dynamic Signals.

Andrea Toma, Tassadaq Nawaz, Lucio Marcenaro, Carlo S. Regazzoni, Yue Gao

Proceedings of the 2nd International Conference on Wireless Intelligent and Distributed Environment for Communication, 2019

2015

Emitter localisation from reception timestamps in asynchronous networks.

Nicolò Facchi, Francesco Gringoli, Fabio Ricciato, Andrea Toma

Comput. Networks, 2015

2014

RSS-based localization in non-homogeneous environments.

Francesco Bandiera, Angelo Coluccia, Giuseppe Ricci, Andrea Toma

Proceedings of the IEEE International Conference on Acoustics, 2014