FlowSNN: Bio-Inspired Lateral-Line Flow Classification with Spiking Neural Networks — Code and Reproducibility Package
J.K. Sah
Code and reproducibility package for the paper "Energy-Efficient Hydrodynamic Flow Sensing for Autonomous Underwater Vehicles: A Spiking Neural Network Decoder for a Bio-Inspired Artificial Lateral Line with FSI Simulation and Lattice-Boltzmann CFD Validation", submitted to Ocean Engineering. GitHub repository: https://github.com/JK-Sah/flowsnn
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