Huixing Meng

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 Huixing Meng trusts overall

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

  1. Michael G. Pecht
  2. Xiang Li

Papers from Huixing Meng's perspective

Ordered by how strongly the researchers Huixing Meng 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. An integrated approach to battery health monitoring using bayesian regression and state estimation (2007 IEEE Autotestcon)
  6. Gradient-based learning applied to document recognition
  7. Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework (IEEE Transactions on Instrumentation and Measurement)
  8. Regression Shrinkage and Selection via the Lasso
  9. This PDF file includes: Materials and Methods
  10. Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model

Their papers