N. Sengupta

Automotive Engineering · with Annaswamy · 2021

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 N. Sengupta trusts overall

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

  1. François Chollet
  2. Christoph R. Birkl
  3. Hicham Chaoui

Papers from N. Sengupta's perspective

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

  1. Long Short-Term Memory
  2. Degradation diagnostics for lithium ion cells
  3. An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks
  4. On the difficulty of training recurrent neural networks
  5. Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach (IEEE Access)
  6. Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries (IEEE Transactions on Industrial Informatics)
  7. A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve
  8. Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. I. Experimental investigation
  9. Review and performance comparison of mechanical-chemical degradation models for lithium-ion batteries (Journal of the Electrochemical Society)
  10. A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter

Their papers