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

Whom Francesco Cadini trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Arnaud Doucet
  2. Bhaskar Saha

Who trusts Francesco Cadini overall

  1. Enrico Zio
  2. Claudio Sbarufatti
  3. Giovanni Peloni
  4. Matteo Corbetta
  5. Kailong Liu

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.

  1. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
  2. Sequential Monte Carlo Methods to Train Neural Network Models
  3. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
  4. Global sensitivity analysis using polynomial chaos expansions (Reliability Engineering & System Safety)
  5. Sensitivity Estimates for Nonlinear Mathematical Models
  6. Neural Networks for Pattern Recognition
  7. Particle filter for state of charge and state of health estimation for lithium–iron phosphate batteries
  8. Monte Carlo-based filtering for fatigue crack growth estimation
  9. Prognostics of lithium-ion batteries based on DempsterShafer theory and the Bayesian Monte Carlo me
  10. A review on the key issues for lithium-ion battery management in electric vehicles

Their papers