Marco Giglio

Automotive Engineering · 2016–2021

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

Subfields

• Automotive Engineering — 7 citations into it; #3,003 of 3,081 by trust here, #2,603 by citations

Whom Marco Giglio trusts overall

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

1. Bhaskar Saha
2. Arnaud Doucet
3. Mohammad Charkhgard

Who trusts Marco Giglio overall

1. Kailong Liu

Papers from Marco Giglio's perspective

Ordered by how strongly the researchers Marco Giglio 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. On sequential Monte Carlo sampling methods for Bayesian filtering
6. Neural Networks for Pattern Recognition
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
• Experimental tests and numerical modelling of ballistic impacts against Kevlar 29 plain-woven fabrics with an epoxy matrix: Macro-homogeneous and Meso-heterogeneous approaches (2016) — 140 citations