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Elenco Pubblicazioni - Publications (1673)

Borgianni, L., Giordano, S. and Chafe. C., 2024, December. Democratizing Networked Music Performance with a RL-based SD-WAN, IEEE Communications Magazine

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Networked Music Performance (NMP) has increased its spread in the musician community because of its capability to connect players who are not physically together. However, NMP relies on stringent requirements, such as low latency, which…
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Borgianni L, Adami D, Giordano S, Pagano M. Enhancing Reliability in Rural Networks Using a Software-Defined Wide Area Network. Computers. 2024; 13(5):113. https://doi.org/10.3390/computers1305011

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Due to limited infrastructure and remote locations, rural areas often need help providing reliable and high-quality network connectivity. We propose an innovative approach that leverages Software-Defined Wide Area Network (SD-WAN) architecture to enhance reliability in…
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Borgianni, L., Ahmed, M.S., Adami, D. and Giordano, S., 2023, October. Spectrogram Based Bee Sound Analysis with DNNs: a step toward Federated Learning approach. In 2023 4th International Symposium on the Internet of Sounds (pp. 1-8). IEEE.

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The decline in global bee populations significantly threatens biodiversity and food production. Monitoring beehives are crucial for understanding colony health and behavior. In this paper, we propose an analysis of different beekeeping approaches by leveraging…
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M. Dadà, L. Zulberti, P. Nannipieri, L. Fanucci and S. Moranti, "Inference and Evaluation of Deep Convolutional Neural Networks on Microchip’s Hardware Accelerator VectorBlox," 2023 European Data Handling & Data Processing Conference (EDHPC), Juan Le

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The exponential growth of artificial intelligence in recent years has created new opportunities across various industries, including the space sector. The increasing significance of CNNs has played a pivotal role in shaping modern AI advancements.…
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L. Zulberti, M. Monopoli, P. Nannipieri, L. Fanucci and S. Moranti, "Highly Parameterised CGRA Architecture for Design Space Exploration of Machine Learning Applications Onboard Satellites," 2023 European Data Handling & Data Processing Conference (E

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The adoption of Machine Learning solutions directly onboard in satellite missions is becoming more and more attractive for the space sector. Among the various kinds of hardware accelerators, ranging from highly efficient yet inflexible COTS…
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