Jong-Myon Kim

Control and Systems Engineering · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jong-Myon Kim trusts overall

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

  1. Pramod Bangalore
  2. Lina Bertling Tjernberg
  3. Zhiwei Gao

Papers from Jong-Myon Kim's perspective

Ordered by how strongly the researchers Jong-Myon Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Neural Networks for Acoustic Modeling in Speech Recognition
  3. Deep Learning
  4. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches (IEEE transactions on industrial electronics (1982. Print))
  5. A Multi-Sensor Energy Theft Detection Framework for Advanced Metering Infrastructures
  6. Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines (IEEE Transactions on Power Delivery)
  7. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches (IEEE transactions on industrial electronics (1982. Print))
  8. Electricity theft: a comparative analysis
  9. White Rose Consortium ePrints Repository
  10. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

Their papers