Image sensors and VPU acceleration for data analysis and classification. - Lorenzo Petrosino; Giulio Iannello; Mario Merone; Luca Vollero (MetroInd4.0&IoT, 2021)

Framework for IoT ecosystems based on distributed ledger technologies and decentralized identifiers. - Giordano Pescetelli; Lorenzo Petrosino; Stefano Della Valle; Giulia Ronga; Mario Merone; Luca Vollero (MetroInd4.0& IoT, 2022)

A Practical Approach to the Analysis and Optimization of Neural Networks on Embedded Systems. - Mario Merone; Alessandro Graziosi; Valerio Lapadula; Lorenzo Petrosino; Onorato d'Angelis; Luca Vollero (Sensors, 2022)

Layered Meta-Learning Algorithm for Predicting Adverse Events in Type 1 Diabetes. - Federico D'Antoni; Lorenzo Petrosino; Alessandro Marchetti; Luca Bacco; Silvia Pieralice; Luca Vollero; Paolo Pozzilli; Vincenzo Piemonte; Mario Merone (IEEE Access, 2023)

Investigating Stock Prediction Using LSTM Networks and Sentiment Analysis of Tweets Under High Uncertainty: A Case Study of North American and European Banks. - Luca Bacco; Lorenzo Petrosino; Domenico Arganese; Luca Vollero; Marco Papi; Mario Merone (IEEE Access, 2024)

dRAIN: A Distributed Reliable Architecture for IoT Networks. - Lorenzo Petrosino; Giordano Pescetelli; Quirino Fieramosca; Stefano Della Valle; Mario Merone; Luca Vollero (IEEE Internet Things J., 2024)

Efficient Detection of Microplastics on Edge Devices With Tailored Compiler for TinyML Applications. - Alessandro Cerioli; Lorenzo Petrosino; Daniele Sasso; Clément Laroche; Tobias Piechowiak; Luca Pezzarossa; Mario Merone; Luca Vollero; Anna Sabatini (IEEE Access, 2025)

A zero-knowledge proof federated learning on DLT for healthcare data. - Lorenzo Petrosino; Luigi Masi; Federico D'Antoni; Mario Merone; Luca Vollero (J. Parallel Distributed Comput., 2025)