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Continual Learning for Reliable In-Sequence Molecular Communication

Siddhant Setia et al.
arXiv CS · Papers
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machine-learningneural-networks
This paper considers reliable in-sequence molecular communication, where bio-nanomachines exchange molecule-encoded information in a specified order, and investigates a new simulation-based method to incrementally evaluate communication protocols by gradually increasing the complexity of experimenta
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