CORTEXA
← Browse

Edoardo Ragusa

2 papers indexed

arxivcs.CVcs.LGcs.PF2026-07-31

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module

Simone Lugani, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo

The deployment of deep neural networks for visual affordance segmentation on wearable robots poses may prove critical, due to some conflicting aspects of the problem. On one hand, affordance segmentation requires high-level abstraction capabilities, that typically involve large-s…

View free PDFSource page
arxivcs.LGcs.AI2026-06-30

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop

Andrea Mattia Garavagno, Edoardo Ragusa, Paolo Gastaldo, Antonio Frisoli, Rodolfo Zunino

This paper introduces BearingNAS, a Hardware-Aware Neural Architecture Search (HW-NAS) framework designed to shift the intelligence directly onto the sensor die via in-sensor processing. BearingNAS frames the search as a constrained optimization problem targeting extreme micro-bu…

View free PDFSource page