Michele Vitelli

According to our database, Michele Vitelli authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Preliminary Evaluation of Machine Learning Approaches for PANTONE Color Classification with the SENSIPATCH wearable system.

Hamza Mustafa, Michele Vitelli, Filippo Milano, Mario Molinara, Luigi Ferrigno, Andrea Ria, Federico Fina, Fabio Leccese

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

2024

Investigation of Wearable SENSIPLUS Chip for Bioimpedance Measurements.

Lorenzo Giannini, Rita Asquini, Michele Vitelli, Emanuele Piuzzi

Proceedings of the 47th MIPRO ICT and Electronics Convention, 2024

UniCas for Industry.

Alessio Miele, Hamza Mustafa, Michele Vitelli, Alessandro Bria, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

A Deep Learning System for Water Pollutant Detection Based on the SENSIPLUS Microsensor.

Hamza Mustafa, Mario Molinara, Luigi Ferrigno, Michele Vitelli

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Comparative Analysis of SoC Estimation in Batteries Using SFRA and EIS.

Alessio Miele, Michele Vitelli, Alessandro Sardellitti, Filippo Milano, Mario Molinara, Luigi Ferrigno, Fabrizio Ciancetta, Simone Mari

Proceedings of the 14th IEEE International Workshop on Applied Measurements for Power Systems, 2024

2023

SENSIPLUS-LM: A Low-Cost EIS-Enabled Microchip Enhanced with an Open-Source Tiny Machine Learning Toolchain.

Michele Vitelli, Gianni Cerro, Luca Gerevini, Gianfranco Miele, Andrea Ria, Mario Molinara

Comput., February, 2023

An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform.

Luca Gerevini, Gianni Cerro, Alessandro Bria, Claudio Marrocco, Luigi Ferrigno, Michele Vitelli, Andrea Ria, Mario Molinara

J. King Saud Univ. Comput. Inf. Sci., January, 2023

Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform.

Kevin Roitero, Beatrice Portelli, Giuseppe Serra, Vincenzo Della Mea, Stefano Mizzaro, Gianni Cerro, Michele Vitelli, Mario Molinara

IEEE Access, 2023

EIS-Based SoC Estimation: A Novel Measurement Method for Optimizing Accuracy and Measurement Time.

Carmine Bourelly, Michele Vitelli, Filippo Milano, Mario Molinara, Francesco Fontanella, Luigi Ferrigno

IEEE Access, 2023

A Statistical Approach for Electrochemical Impedance Spectroscopy Analysis on LFP Batteries' State of Charge.

Luca Tari, Carmine Bourelly, Michele Vitelli, Filippo Milano, Mario Molinara, Luigi Ferrigno

Proceedings of the 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2023

2022

A new Dataset for Detection of Illegal or Suspicious Spilling in Wastewater through Low-cost Real-time Sensors.

Mario Molinara, Carmine Bourelly, Luigi Ferrigno, Luca Gerevini, Michele Vitelli, Andrea Ria, Francesco Magliocca, L. Ruscitti, Roberto Simmarano, A. Trynda, P. Olejnik

Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform.

Alessandro Bria, Luigi Ferrigno, Claudio Marrocco, Mario Molinara, Michele Vitelli, Andrea Ria, Mattia Cicalini, Giuseppe Manfredini, Paolo Bruschi

Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

2021

A False Positive Reduction System For Continuous Water Quality Monitoring.

Alessandro Bria, Luigi Ferrigno, Luca Gerevini, Claudio Marrocco, Mario Molinara, Paolo Bruschi, Mattia Cicalini, Giuseppe Manfredini, Andrea Ria, Gianni Cerro, Roberto Simmarano, Giovanni Teolis, Michele Vitelli

Proceedings of the IEEE International Conference on Smart Computing, 2021