PINNs are applied in a proof-of-concept to mitigate attacks on liquid pump controllers in water distribution networks by incorporating physical flow laws into network training.
Driven by data or derived through physics? a review of hybrid physics guided machine learning techniques with cyber- physical system (cps) focus
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Physics-Informed Neural Networks for Securing Water Distribution Systems
PINNs are applied in a proof-of-concept to mitigate attacks on liquid pump controllers in water distribution networks by incorporating physical flow laws into network training.