most citedPoKER: A Probability of Kill Estimation Rate Model for Air-to-Air Missiles Using Machine Learning on Stochastic Targets

8 citations · 8 across the 1 of their papers we have counts for

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cs.LG2026★ 8 cited

PoKER: A Probability of Kill Estimation Rate Model for Air-to-Air Missiles Using Machine Learning on Stochastic Targets

Joao P. A. Dantas, Andre N. Costa, Diego Geraldo +2

This work introduces PoKER, a novel probabilistic model engineered to optimize missile launch effectiveness in air-to-air scenarios, specifically within Beyond Visual Range (BVR) a…