Elenco Pubblicazioni - Publications (1559)
L. Borgianni, S. Troia, D. Adami, G. Maier and S. Giordano, "Assessing the Efficacy of Reinforcement Learning in Enhancing Quality of Service in SD-WANs," GLOBECOM 2023 - 2023 IEEE Global Communications Conference
Written by LUCA BORGIANNI
The continuous growth of advanced services integrating processing, storage, real-time data exchange, and transmission capacities highlights the importance of Quality of Service (QoS) and Quality of Experience (QoE). In particular, it is very relevant for…
Borgianni, L., Giordano, S. and Chafe. C., 2024, December. Democratizing Networked Music Performance with a RL-based SD-WAN, IEEE Communications Magazine
Written by LUCA BORGIANNI
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…
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
Written by LUCA BORGIANNI
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…
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.
Written by LUCA BORGIANNI
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…
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
Written by LUCA ZULBERTI
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.…
News
- Prof. T. Djenizian, Head of the Flexible Electronics Department Microelectronics, Center of Provence Mines Saint-Étienne, Institut Mines-Télécom, "3D Nano- and Microstructures for Sustainable and Flexible Energy Devices", 9-13 June 2025
- Assistant Professor Xiaomeng Li, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, "Deep Learning for Medical Image Analysis", 21-23, 28 July 2025
- CORSO POSTICIPATO - TO BE RESCHEDULED - Prof. Sajal K. Das, Missouri University of Science and Technology Rolla, MO, USA, "Secure and Resilient Cyber-Physical Systems for Smart Living", 12-15 May 2025
- MODIFICA DATE CORSO - Prof. Nicola Tonellotto, University of Pisa – Italy, PhD. Guglielmo Faggioli, Università degli Studi di Padova - Italy, "Privacy Preserving Information Access", 19-23 May 2025
- MODIFICA AULA CORSO Prof. Nicola Tonellotto, University of Pisa – Italy, PhD Federico Siciliano, Sapienza University of Rome – Italy, "Recommender Systems Applications in Industry 5.0", 5-9 May 2025
