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Federica Buccolini. Data Analysis of a non-invasive breath test method for SARS-CoV-2. Rel. Giovanni Squillero, Riccardo Cantoro, Nicolo' Bellarmino. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2022
Fangtian Li. Extraction and identification of information from Mass Spectra of the breath of patients infected with SARS-CoV-2. Rel. Giovanni Squillero, Nicolo' Bellarmino. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2022
Muhammad Aamir Ali. Computational Intelligence for Modeling Drift and Noise in Mass Spectra for Detecting SARS CoV2 from Patients' Breaths. Rel. Giovanni Squillero, Nicolo' Bellarmino, Riccardo Cantoro. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
Abdul Hadi Saeed. Extraction and identification of information from Mass Spectra of the breath of patients infected with SARS-CoV-2. Rel. Giovanni Squillero, Riccardo Cantoro, Nicolo' Bellarmino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023
Matteo Serra. Machine-Learning Techniques for the Diagnosis of COVID-19 from Exhaled-Breath Mass Spectra. Rel. Giovanni Squillero, Nicolo' Bellarmino. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
Francesco Minichelli. Machine Learning for Early Defect Detection in Automotive Semiconductors. Rel. Riccardo Cantoro, Nicolo' Bellarmino. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2024
Alberto Ricatto. Design and development of intelligent algorithms for detecting Volatile Organic Compounds (VOCs) from raw data acquired through highly miniaturized devices. Rel. Giovanni Squillero, Nicolo' Bellarmino. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2024