A Preliminary Solution for Anomaly Detection in Water Quality Monitoring. - Carmine Bourelly; Alessandro Bria; Luigi Ferrigno; Luca Gerevini; Claudio Marrocco; Mario Molinara; Gianni Cerro; Mattia Cicalini; Andrea Ria (SMARTCOMP, 2020)

A novel PCA-based approach for building on-board sensor classifiers for water contaminant detection. - Claudio De Stefano; Luigi Ferrigno; Francesco Fontanella; Luca Gerevini; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2020)

A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection. - Claudio De Stefano; Luigi Ferrigno; Francesco Fontanella; Luca Gerevini; Mario Molinara (EvoApplications, 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; et al. (SMARTCOMP, 2021)

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)

Evolutionary Computation to Implement an IoT-Based System for Water Pollution Detection. - Claudio De Stefano; Luigi Ferrigno; Francesco Fontanella; Luca Gerevini; Mario Molinara (SN Comput. Sci., 2022)

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)