Neurocomputing accepts the theoretical contributions aimed to further understanding of neural networks and learning systems. This session aims at practice and applications, including architectures, analysis of networks, theories of learning, biological neural network modeling.

  • Signal Processing

  • Speech Processing

  • Image Processing

  • Computer Vision

  • Neural network

  • Big data computing

  • Cloud computing

  • Machine learning

Papers from other topics relevant to Session on Neurocomputing: Practice and Applications are also welcome.

Submission of papers shall be through conference website.

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