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ORCIDAndrea Toma
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2020 – today
- 2026
[j9]Andrea Toma
, Daniele Salvati, Axel De Nardin, Silvia Zottin, Ivan Scagnetto, Giovanni Ferrin, Carlo Drioli, Gian Luca Foresti:
Deep acoustic learning on unmanned aerial vehicles for real-time human and drone detection. Integr. Comput. Aided Eng. 33(2): 182-199 (2026)- 2025
- [j8]Denis Tavaris, Alberto de Zan, Andrea Toma, Gian Luca Foresti, Ivan Scagnetto, Niki Martinel:
Multi-Perspective RGB and Infrared Dataset for UAV Detection. IEEE Access 13: 168792-168803 (2025) - [j7]Axel De Nardin, Silvia Zottin, Andrea Toma, Claudio Piciarelli, Gian Luca Foresti:
A multibranch and multiattention framework for floor plan segmentation. Comput. Aided Civ. Infrastructure Eng. 40(23): 3674-3687 (2025) - [j6]Andrea Toma, Niccolò Cecchinato, Giovanni Ferrin, Ivan Scagnetto, Carlo Drioli, Gian Luca Foresti:
MAV-Link-Based Control and Coordination of a Multi-Drone Cluster for Intelligence, Surveillance and Reconnaissance Tasks. Unmanned Syst. 13(4): 1027-1040 (2025) - 2024
- [j5]Niccolò Cecchinato, Ivan Scagnetto, Andrea Toma, Carlo Drioli, Gian Luca Foresti:
A broadcast sub-GHz framework for unmanned aerial vehicles clock synchronization. Integr. Comput. Aided Eng. 31(1): 59-75 (2024) - 2023
- [j4]Niccolò Cecchinato, Andrea Toma, Carlo Drioli, Giovanni Ferrin, Gian Luca Foresti:
Performance evaluation of a Wi-Fi-based multi-node network for distributed audio-visual sensors. Multim. Tools Appl. 82(19): 29753-29768 (2023) - 2022
- [c8]Andrea Toma, Niccolò Cecchinato, Carlo Drioli, Giuseppe Oliva, Giovanni Ferrin, Gianluigi Sechi, Gian Luca Foresti:
Onboard Audio and Video Processing for Secure Detection, Localization, and Tracking in Counter-UAV Applications. ICMCIS 2022: 20-27 - [c7]Niccolò Cecchinato, Andrea Toma, Carlo Drioli, Giuseppe Oliva, Gianluigi Sechi, Gian Luca Foresti:
A Secure Real-time Multimedia Streaming through Robust and Lightweight AES Encryption in UAV Networks for Operational Scenarios in Military Domain. ICMCIS 2022: 50-57 - [c6]Andrea Toma, Daniele Salvati, Carlo Drioli, Gian Luca Foresti:
Efficient Detection and Localization of Acoustic Sources with a low complexity CNN network and the Diagonal Unloading Beamforming. IJCNN 2022: 1-8 - 2021
- [c5]Andrea Toma, Niccolò Cecchinato, Carlo Drioli, Gian Luca Foresti, Giovanni Ferrin:
CNN-based processing of radio frequency signals for augmenting acoustic source localization and enhancement in UAV security applications. ICMCIS 2021: 1-5 - [c4]Andrea Toma, Daniele Salvati, Carlo Drioli, Gian Luca Foresti:
CNN-Based Processing of Acoustic and Radio Frequency Signals for Speaker Localization from MAVs. Interspeech 2021: 2147-2151 - 2020
- [b1]Andrea Toma:
PHY-layer Security in Cognitive Radio Networks through Learning Deep Generative Models: an AI-based approach. University of Genoa, Italy, 2020 - [j3]Andrea Toma, Ali Krayani, Muhammad Farrukh, Haoran Qi, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni:
AI-Based Abnormality Detection at the PHY-Layer of Cognitive Radio by Learning Generative Models. IEEE Trans. Cogn. Commun. Netw. 6(1): 21-34 (2020) - [c3]Andrea Toma, Ali Krayani, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni:
Deep Learning for Spectrum Anomaly Detection in Cognitive mmWave Radios. PIMRC 2020: 1-7
2010 – 2019
- 2019
- [j2]Andrea Toma, Tassadaq Nawaz, Yue Gao, Lucio Marcenaro, Carlo S. Regazzoni:
Interference mitigation in wideband radios using spectrum correlation and neural network. IET Commun. 13(10): 1336-1347 (2019) - [c2]Andrea Toma, Tassadaq Nawaz, Lucio Marcenaro, Carlo S. Regazzoni, Yue Gao:
Exploiting ST-Based Representation for High Sampling Rate Dynamic Signals. WIDECOM 2019: 203-217 - 2015
- [j1]Nicolò Facchi, Francesco Gringoli, Fabio Ricciato, Andrea Toma:
Emitter localisation from reception timestamps in asynchronous networks. Comput. Networks 88: 202-217 (2015) - 2014
- [c1]Francesco Bandiera, Angelo Coluccia, Giuseppe Ricci, Andrea Toma:
RSS-based localization in non-homogeneous environments. ICASSP 2014: 4214-4218 - [i1]Nicolò Facchi, Francesco Gringoli, Fabio Ricciato, Andrea Toma:
Emitter Localisation from Reception Timestamps in Asynchronous Networks. CoRR abs/1407.8056 (2014)
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