collaborators

5 papers

eess.SP2026

From Wireless SNNs to SN P Systems: A Low-Energy Rule-Based Conversion

Pietro Savazzi, Mauro Marchese, Anna Vizziello +1

Distributed wireless spiking neural networks (DWSNNs) are a promising paradigm for energy-efficient edge inference in resource-constrained environments such as wireless sensor netw…

eess.SP2024

Channel Characterization of Implantable Intrabody Communication through Experimental Measurements

Kayhan Ate, Anna Marcucci, Pietro Savazzi +3

Intrabody communication (IBC), is a promising technology that can be utilized for data transmission across the human body. In this study, a galvanic coupled (GC)-based IBC channel…

eess.SP2024

A comparative analysis of preamble sequences for Galvanic Coupling Intra-Body Communications

Farzana Kulsoom, Pietro Savazzi, Fabio Dell'Acqua +2

Galvanic coupled-intra-body communication (GC-IBC) is an innovative research area contributing to transform personalized medicine by enabling seamless connectivity and communicatio…

eess.SP2024

Automatic Voice Classification Of Autistic Subjects

Jessica Vacca, Natascia Brondino, Fabio Dell'Acqua +2

Autism Spectrum Disorders (ASD) describe a heterogeneous set of conditions classified as neurodevelopmental disorders. Although the mechanisms underlying ASD are not yet fully unde…

eess.SP2024

Mutual Information Analysis of Neuromorphic Coding for Distributed Wireless Spiking Neural Networks

Pietro Savazzi, Anna Vizziello, Fabio Dell'Acqua

Wireless spiking neural networks (WSNNs) allow energy-efficient communications, especially when considering edge intelligence and learning for both terrestrial beyond 5G/6G and spa…