Evidence of pandemic fatigue associated with stricter tiered COVID-19 restrictions F Delussu, M Tizzoni, L Gauvin PLOS Digital Health 1 (5), e0000035, 2022 | 31* | 2022 |
Experiments and comparison of digital twinning of photovoltaic panels by machine learning models and a cyber-physical model in modelica F Delussu, D Manzione, R Meo, G Ottino, M Asare IEEE Transactions on Industrial Informatics 18 (6), 4018-4028, 2021 | 24 | 2021 |
Fuel prediction and reduction in public transportation by sensor monitoring and bayesian networks F Delussu, F Imran, C Mattia, R Meo Sensors 21 (14), 4733, 2021 | 8 | 2021 |
The limits of human mobility traces to predict the spread of COVID-19: A transfer entropy approach F Delussu, M Tizzoni, L Gauvin PNAS nexus 2 (10), pgad302, 2023 | 4 | 2023 |
The limits of human mobility traces to predict the spread of COVID-19 F Delussu, M Tizzoni, L Gauvin arXiv preprint arXiv:2301.03960, 2023 | | 2023 |
The limits of human mobility traces to predict the spread of COVID-19 (preprint) F Delussu, M Tizzoni, L Gauvin | | 2023 |
Applying Bayesian Networks to Reduce Fuel Consumption in Public Transportation F Delussu, F Imran, R Meo, M Pellegrino I-CiTies 2020-6th CINI Annual Conference on ICT for Smart Cities …, 2020 | | 2020 |