C. D. de Silva

IEEE/ASME transactions on mechatronics · 2012–2021

A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Who trusts C. D. de Silva overall

  1. Nie Hou
  2. Biao Zhao
  3. Saman Asghari Gorji

Papers from C. D. de Silva's perspective

Ordered by how strongly the researchers C. D. de Silva trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Dropout: a simple way to prevent neural networks from overfitting
  3. Speech recognition with deep recurrent neural networks
  4. Convolutional neural networks applied to house numbers digit classification
  5. Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition
  6. Gradient descent learning algorithm overview: a general dynamical systems perspective
  7. Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
  8. Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing (IEEE Transactions on Industrial Informatics)
  9. Wavelets for fault diagnosis of rotary machines: A review with applications (Signal Processing)
  10. Visual Tracking with Fully Convolutional Networks (IEEE International Conference on Computer Vision)

Their papers