Latest Journals (Scopus indexed)

  1. S.J. Berlin and M. John, Spiking neural network based on joint entropy of optical flow features for human action recognition, Visual Computer, 2022 Spiking neural network based on joint entropy of optical flow features for human action recognition (1) : pp223-237 .
  2. S.J. Berlin and M. John, Vision based human fall detection with Siamese convolutional neural networks, Journal of Ambient Intelligence and Humanized Computing, 2021 Vision based human fall detection with Siamese convolutional neural networks .
  3. J. Gracewell and M. John, Dynamic background modeling using deep learning autoencoder network, Multimedia Tools and Applications, 2020 Dynamic background modeling using deep learning autoencoder network (7-8) : pp4639-4659 .
  4. S.J. Berlin and M. John, Light weight convolutional models with spiking neural network based human action recognition, Journal of Intelligent and Fuzzy Systems, 2020 Light weight convolutional models with spiking neural network based human action recognition (1) : pp961-973 .
  5. S.J. Berlin and M. John, Particle swarm optimization with deep learning for human action recognition, Multimedia Tools and Applications, 2020 Particle swarm optimization with deep learning for human action recognition (25-26) : pp17349-17371 .
  6. S.J. Berlin and M. John, R-STDP Based Spiking Neural Network for Human Action Recognition, Applied Artificial Intelligence, 2020 R-STDP Based Spiking Neural Network for Human Action Recognition (9) : pp656-673 .