Yan-Fu Li

Control and Systems Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan-Fu Li trusts

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

  1. Michael G. Pecht (in Control and Systems Engineering)

Papers from Yan-Fu Li's perspective

Ordered by how strongly the researchers Yan-Fu Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (IEEE transactions on industrial electronics (1982. Print))
  2. Prognostics of lithium-ion batteries based on DempsterShafer theory and the Bayesian Monte Carlo me
  3. A review on prognostics and health monitoring of Li-ion battery
  4. An integrated approach to battery health monitoring using bayesian regression and state estimation (2007 IEEE Autotestcon)
  5. Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework (IEEE Transactions on Instrumentation and Measurement)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model
  8. Gradient-based learning applied to document recognition
  9. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (IEEE Transactions on Signal Processing)
  10. Machine learning - a probabilistic perspective

Their papers