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; et al. (SMARTCOMP, 2021)

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 (SMARTCOMP, 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 (SMARTCOMP, 2022)

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 (MetroInd4.0&IoT, 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)

Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform. - Kevin Roitero; Beatrice Portelli; Giuseppe Serra 001; Vincenzo Della Mea; Stefano Mizzaro; Gianni Cerro; Michele Vitelli; Mario Molinara (IEEE Access, 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., 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., 2023)

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 (AMPS, 2024)

A Deep Learning System for Water Pollutant Detection Based on the SENSIPLUS Microsensor. - Hamza Mustafa; Mario Molinara; Luigi Ferrigno; Michele Vitelli (ICPR (23), 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 (Ital-IA, 2024)

Investigation of Wearable SENSIPLUS Chip for Bioimpedance Measurements. - Lorenzo Giannini; Rita Asquini; Michele Vitelli; Emanuele Piuzzi (MIPRO, 2024)

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 (I2MTC, 2025)