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Federico Delussu
Federico Delussu
PhD student
Verifierad e-postadress på dtu.dk
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Evidence of pandemic fatigue associated with stricter tiered COVID-19 restrictions
F Delussu, M Tizzoni, L Gauvin
PLOS Digital Health 1 (5), e0000035, 2022
412022
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
382021
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
112023
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
102021
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
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
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Artiklar 1–6