7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
A deep learning approach for detection and localization of leaf anomalies
Davide Calabrò, Massimiliano Lupo Pasini, Nicola Ferro +1
The detection and localization of possible diseases in crops are usually automated by resorting to supervised deep learning approaches. In this work, we tackle these goals with uns…
cs.CE2022★ 7 cited
Multi-physics inverse homogenization for the design of innovative cellular materials: application to thermo-mechanical problems
Matteo Gavazzoni, Nicola Ferro, Simona Perotto +1
We present a new algorithm to design lightweight cellular materials with required properties in a multi-physics context. In particular, we focus on a thermo-mechanical setting, by…