Lanza, Bernardo

Lanza, Bernardo  

Dipartimento di Ingegneria Meccanica e Industriale  

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Titolo Data di pubblicazione Autore(i) File
Computer vision-based mapping of grapevine vigor variability for enhanced fertilization strategies through intelligent pruning estimation 1-gen-2023 Lanza, Bernardo; Botturi, Davide; Nuzzi, Cristina; Pasinetti, Simone; Lancini, Matteo
Deep Learning for Gesture Recognition in Gym Training performed by a vision-based augmented reality smart mirror 1-gen-2022 Lanza, Bernardo; Nuzzi, Cristina; Pasinetti, Simone; Lancini, Matteo
DEEP LEARNING FOR GESTURE RECOGNITION IN SPORTIVE TRAINING OPERATION PERFORMED BY STANDALONE SPECIALIZED NEURAL NETWORK VISION-BASED SYSTEMS 1-gen-2021 Lanza, Bernardo; Nuzzi, Cristina; Pasinetti, Simone; Lancini, Matteo
First Step Towards Embedded Vision System for Pruning Wood Estimation 1-gen-2023 Lanza, Bernardo; Nuzzi, Cristina; Botturi, Davide; Pasinetti, Simone
Gesture recognition for Healthcare 4.0: a machine learning approach to reduce clinical infection risks 1-gen-2023 Lanza, Bernardo; Ferlinghetti, Enrico; Nuzzi, Cristina; Sani, Lorenzo; Garinei, Alberto; Maiorfi, Lorenzo; Naso, Simone; Piccioni, Emanuele; Bianchi, Federico; Proietti, Massimiliano; Marini, Andrea; Speziali, Stefano; Marconi, Marcello; Vispa, Alessandro; Lancini, Matteo
STEWIE: eSTimating grapE berries number and radius from images using a Weakly supervIsed nEural network 1-gen-2023 Botturi, Davide; Gnutti, Alessandro; Nuzzi, Cristina; Lanza, Bernardo; Pasinetti, Simone
Validation of a smart mirror for gesture recognition in gym training performed by a vision-based deep learning system 1-gen-2022 Lanza, B.; Nuzzi, C.; Pasinetti, S.; Foletti, L.; Lancini, M.; Sansoni, G.