3   Artículos

 
en línea
Francesco Barchi, Emanuele Parisi, Andrea Bartolini and Andrea Acquaviva    
To cope with the increasing complexity of digital systems programming, deep learning techniques have recently been proposed to enhance software deployment by analysing source code for different purposes, ranging from performance and energy improvement to... ver más
Revista: Journal of Low Power Electronics and Applications    Formato: Electrónico

 
en línea
Francesco Barchi, Luca Zanatta, Emanuele Parisi, Alessio Burrello, Davide Brunelli, Andrea Bartolini and Andrea Acquaviva    
In this work, we present an innovative approach for damage detection of infrastructures on-edge devices, exploiting a brain-inspired algorithm. The proposed solution exploits recurrent spiking neural networks (LSNNs), which are emerging for their theoret... ver más
Revista: Future Internet    Formato: Electrónico

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