Training a CNN on a dataset augmented across defender number, motion, and noise yields more accurate swarm-tactic classification, and optimizing defender trajectories against the trained network can raise its confidence (STP) and reduce the number of defenders needed.
Kallenborn, Are drone swarms weapons of mass destruction? The Counterproliferation Papers Future Warfare Series, no
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Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs
Training a CNN on a dataset augmented across defender number, motion, and noise yields more accurate swarm-tactic classification, and optimizing defender trajectories against the trained network can raise its confidence (STP) and reduce the number of defenders needed.