| An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability F Cadini, F Santos, E Zio Reliability Engineering & System Safety 131, 109-117, 2014 | 266 | 2014 |
| Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks C Sbarufatti, M Corbetta, M Giglio, F Cadini Journal of Power Sources 344, 128-140, 2017 | 212 | 2017 |
| A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions F Cadini, GL Agliardi, E Zio Applied energy 185, 267-279, 2017 | 189 | 2017 |
| Monte Carlo-based filtering for fatigue crack growth estimation F Cadini, E Zio, D Avram Probabilistic Engineering Mechanics 24 (3), 367-373, 2009 | 180 | 2009 |
| Model-based and data-driven prognostics under different available information P Baraldi, F Cadini, F Mangili, E Zio Probabilistic Engineering Mechanics 32, 66-79, 2013 | 139 | 2013 |
| State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters F Cadini, C Sbarufatti, F Cancelliere, M Giglio Applied energy 235, 661-672, 2019 | 131 | 2019 |
| Model-based Monte Carlo state estimation for condition-based component replacement F Cadini, E Zio, D Avram Reliability Engineering & System Safety 94 (3), 752-758, 2009 | 122 | 2009 |
| Using centrality measures to rank the importance of the components of a complex network infrastructure F Cadini, E Zio, CA Petrescu International Workshop on Critical Information Infrastructures Security, 155-167, 2008 | 106 | 2008 |
| Polynomial chaos expansion for global sensitivity analysis applied to a model of radionuclide migration in a randomly heterogeneous aquifer V Ciriello, V Di Federico, M Riva, F Cadini, J De Sanctis, E Zio, ... Stochastic Environmental Research and Risk Assessment 27, 945-954, 2013 | 88 | 2013 |
| Electrical and topological drivers of the cascading failure dynamics in power transmission networks A Azzolin, L Dueñas-Osorio, F Cadini, E Zio Reliability Engineering & System Safety 175, 196-206, 2018 | 73 | 2018 |
| Optimal expansion of an existing electrical power transmission network by multi-objective genetic algorithms F Cadini, E Zio, CA Petrescu Reliability Engineering & System Safety 95 (3), 173-181, 2010 | 72 | 2010 |
| Shape sensing and damage identification with iFEM on a composite structure subjected to impact damage and non-trivial boundary conditions L Colombo, D Oboe, C Sbarufatti, F Cadini, S Russo, M Giglio Mechanical Systems and Signal Processing 148, 107163, 2021 | 58 | 2021 |
| A Bayesian Monte Carlo-based algorithm for the estimation of small failure probabilities of systems affected by uncertainties F Cadini, A Gioletta Reliability Engineering & System Safety 153, 15-27, 2016 | 49 | 2016 |
| Subset simulation of a reliability model for radioactive waste repository performance assessment F Cadini, D Avram, N Pedroni, E Zio Reliability Engineering & System Safety 100, 75-83, 2012 | 49 | 2012 |
| Estimation of rare event probabilities in power transmission networks subject to cascading failures F Cadini, GL Agliardi, E Zio Reliability Engineering & System Safety 158, 9-20, 2017 | 41 | 2017 |
| Simulating the dynamics of the neutron flux in a nuclear reactor by locally recurrent neural networks F Cadini, E Zio, N Pedroni Annals of Nuclear Energy 34 (6), 483-495, 2007 | 35 | 2007 |
| A Monte Carlo method for the model-based estimation of nuclear reactor dynamics F Cadini, E Zio Annals of Nuclear Energy 34 (10), 773-781, 2007 | 33 | 2007 |
| Improved metamodel-based importance sampling for the performance assessment of radioactive waste repositories F Cadini, A Gioletta, E Zio Reliability Engineering & System Safety 134, 188-197, 2015 | 32 | 2015 |
| Genetic algorithm optimization of a model-free fuzzy control system M Marseguerra, E Zio, F Cadini Annals of Nuclear Energy 32 (7), 712-728, 2005 | 31 | 2005 |
| Particle filtering‐based adaptive training of neural networks for real‐time structural damage diagnosis and prognosis F Cadini, C Sbarufatti, M Corbetta, F Cancelliere, M Giglio Structural Control and Health Monitoring 26 (12), e2451, 2019 | 29 | 2019 |
