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HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network.

Takuya MatsudaKento UchidaShota SaitoShinichi Shirakawa
Published in: Knowl. Based Syst. (2024)
Keyphrases
  • end to end
  • image data
  • multiscale
  • reinforcement learning
  • high resolution
  • real time
  • neural network
  • wireless ad hoc networks
  • application layer
  • congestion control