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HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network.
Takuya Matsuda
Kento Uchida
Shota Saito
Shinichi Shirakawa
Published in:
Knowl. Based Syst. (2024)
Keyphrases
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end to end
image data
multiscale
reinforcement learning
high resolution
real time
neural network
wireless ad hoc networks
application layer
congestion control