PIEVATOLO, ANTONIO
PIEVATOLO, ANTONIO
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI - Sede Secondaria Milano
A Review of Degradation Models and Remaining Useful Life Prediction for Testing Design and Predictive Maintenance of Lithium-Ion Batteries
2024 Patrizi, Gabriele; Martiri, Luca; Pievatolo, Antonio; Magrini, Alessandro; Meccariello, Giovanni; Cristaldi, Loredana; Nikiforova, Nedka Dechkova
Bayesian Assessment of Corrosion-Related Failures in Steel Pipelines
2024 Ruggeri, Fabrizio; Cagno, Enrico; Caron, Franco; Mancini, Mauro; Pievatolo, Antonio
Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic
2022 Bodini, A; Pasquali, S; Pievatolo, A; Ruggeri, F
Decisions in risk and reliability: An explanatory perspective
2021 Pievatolo, A; Ruggeri, F; Soyer, R; Wilson, S
A Bayesian approach for site-specific wind rose prediction
2020 Lepore, A; Palumbo, B; Pievatolo, A
Foreword
2020 Pievatolo, Antonio; De Ketelaere, Bart
A comminution model with homogeneity and multiplication assumptions for the Waste Electrical and Electronic Equipment recycling industry
2019 Diani, M; Pievatolo, A; Colledani, M; Lanzarone, E
Special issue of ASMBI for GDDR 2017 FOREWORD
2019 Pievatolo, A; Rios Insua, D; Wilson, S
The uncertainty declaration of building acoustics measurements: How to select the uncertainty of reproducibility from inter-laboratory tests
2018 Scrosati, C; Pievatolo, A; Garai, M
Time and magnitude monitoring based on the renewal reward process
2018 Ali, S; Pievatolo, A
Defect minimization and feature control in electrospinning through design of experiments
2017 Borrotti, M; Lanzarone, E; Manganini, F; Ortelli, S; Pievatolo, A; Tonetti, C
A computer-aided methodology for the optimization of electrostatic separation processes in recycling
2016 Borrotti, M; Pievatolo, A; Critelli, I; Degiorgi, A; Colledani, M
An overview of control charts for high-quality processes
2016 Ali, S; Pievatolo, A; Goeb, R
High quality process monitoring using a class of inter-arrival time distributions of the renewal process
2016 Ali, S; Pievatolo, A
How can SMEs benefit from big data? Challenges and a path forward
2016 Coleman, S; Gob, R; Manco, G; Pievatolo, A; Tortmartorell, X; Reis, Ms
Optimal storage scheduling using Markov decision processes
2016 Grillo, S; Pievatolo, A; Tironi, E
More accurate prediction intervals for exponential smoothing with covariates with applications in electrical load forecasting and sales forecasting
2015 Göb, R; Lurz, K; Pievatolo, A
Multilevel functional principal component analysis of façade sound insulation data
2015 Argiento, R; G Bissiri, P; Pievatolo, A; Scrosati, C
Bayesian estimation for a parametric Markov renewal model applied to seismic data
2014 Epifani, I; Ladelli, L; Pievatolo, A
Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times
2014 Argiento, R; Guglielmi, A; Pievatolo, A