Darren Williams

Control and Systems Engineering · 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 Darren Williams trusts overall

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

  1. A. Głowacz

Papers from Darren Williams's perspective

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

  1. Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning (IEEE Transactions on Industrial Informatics)
  2. Digital twin-driven product design framework (International Journal of Production Research)
  3. Applications of machine learning to machine fault diagnosis: A review and roadmap
  4. Searching for Activation Functions
  5. Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network (IEEE transactions on industrial electronics (1982. Print))
  6. Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine (Mechanical systems and signal processing)
  7. Fault diagnosis of single-phase induction motor based on acoustic signals (Mechanical systems and signal processing)
  8. A transfer convolutional neural network for fault diagnosis based on ResNet-50 (Neural computing & applications (Print))
  9. Failure diagnosis using deep belief learning based health state classification
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers