Claudio Sbarufatti

Automotive Engineering · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 7 citations into it; #3,002 of 3,081 by trust here, #2,603 by citations

Whom Claudio Sbarufatti trusts overall

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

1. Bhaskar Saha
2. Arnaud Doucet
3. Mohammad Charkhgard
4. Kai Goebel
5. Francesco Cadini
6. M. Sanjeev Arulampalam
7. J. F. G. D. Freitas
8. Languang Lu
9. Maitane Berecibar
10. Neil J. Gordon

Who trusts Claudio Sbarufatti overall

1. Kailong Liu
2. Yi Li
3. Kang Li

Papers from Claudio Sbarufatti's perspective

Ordered by how strongly the researchers Claudio Sbarufatti trusts endorse each paper. Same corpus, a different order for every researcher.

1. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (IEEE Transactions on Signal Processing)
2. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
3. Sequential Monte Carlo Methods to Train Neural Network Models
4. Particle filter for state of charge and state of health estimation for lithium–iron phosphate batteries
5. Neural Networks for Pattern Recognition
6. On sequential Monte Carlo sampling methods for Bayesian filtering
7. Monte Carlo-based filtering for fatigue crack growth estimation
8. Prognostics of lithium-ion batteries based on DempsterShafer theory and the Bayesian Monte Carlo me
9. A review on the key issues for lithium-ion battery management in electric vehicles
10. Netlab: Algorithms for Pattern Recognition

Their papers

• Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks (2017) — 207 citations
• Shape sensing and damage identification with iFEM on a composite structure subjected to impact damage and non-trivial boundary conditions (2021) — 83 citations