Weiting Zhang

Control and Systems Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weiting Zhang trusts overall

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

  1. Haidong Shao
  2. Charles R. Farrar
  3. Zhuyun Chen
  4. Abdenour Soualhi
  5. Zhiwei Gao
  6. David W. Hosmer Jr.
  7. Feng Jia
  8. Hongkai Jiang
  9. Chen Lu
  10. P. J. García Nieto

Papers from Weiting Zhang's perspective

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

  1. Deep Learning
  2. Gradient-based learning applied to document recognition
  3. A sparse auto-encoder-based deep neural network approach for induction motor faults classification
  4. Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression (IEEE Transactions on Instrumentation and Measurement)
  5. This PDF file includes: Materials and Methods
  6. Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks (IEEE transactions on industrial electronics (1982. Print))
  7. The Nature of Statistical Learning Theory
  8. Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
  9. Learning Deep Architectures for AI
  10. Random Forests

Their papers