Jaesik Chung

2010

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jaesik Chung trusts overall

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

1. Simon S. Haykin
2. Bhaskar Saha
3. Ronald J. Williams

Papers from Jaesik Chung's perspective

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

1. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
2. Kalman Filtering and Neural Networks
3. Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework (IEEE Transactions on Instrumentation and Measurement)
4. Modeling Li-ion Battery Capacity Depletion in a Particle Filtering Framework
5. Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
6. Capacity fade analysis of a lithium ion cell
7. Impedance measurements on lead–acid batteries for state-of-charge, state-of-health and cranking capability prognosis in electric and hybrid electric vehicles
8. Methods for state-of-charge determination and their applications
9. A training algorithm for optimal margin classifiers
10. A and V

Their papers

• A Multiscale Framework with Extended Kalman Filter for Lithium-Ion Battery SOC and Capacity Estimation (2010) — 471 citations