Francesco Cadini
Civil and Structural Engineering · 2009–2021
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 15 citations into it; #4,662 of 6,160 by trust here, #4,803 by citations
- Statistics and Probability — 11 citations into it
- Automotive Engineering — 7 citations into it; #3,000 of 3,081 by trust here, #2,603 by citations
- Artificial Intelligence — 6 citations into it; #28,844 of 35,345 by trust here, #31,361 by citations
Whom Francesco Cadini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Francesco Cadini overall
Papers from Francesco Cadini's perspective
Ordered by how strongly the researchers Francesco Cadini trusts endorse each paper. Same corpus, a different order for every researcher.
- Novel approach to nonlinear/non-Gaussian Bayesian state estimation
- Sequential Monte Carlo Methods to Train Neural Network Models
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
- Global sensitivity analysis using polynomial chaos expansions (Reliability Engineering & System Safety)
- Sensitivity Estimates for Nonlinear Mathematical Models
- Neural Networks for Pattern Recognition
- Particle filter for state of charge and state of health estimation for lithium–iron phosphate batteries
- Monte Carlo-based filtering for fatigue crack growth estimation
- Prognostics of lithium-ion batteries based on DempsterShafer theory and the Bayesian Monte Carlo me
- A review on the key issues for lithium-ion battery management in electric vehicles
Their papers
- Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks (2017) — 207 citations
- Polynomial chaos expansion for global sensitivity analysis applied to a model of radionuclide migration in a randomly heterogeneous aquifer (2013) — 94 citations
- Shape sensing and damage identification with iFEM on a composite structure subjected to impact damage and non-trivial boundary conditions (2021) — 83 citations
- Monte Carlo-based filtering for fatigue crack growth estimation (2009) — 143 citations