ML-MaxProp embeds an XGBoost classifier into MaxProp to predict relay suitability in disaster networks, but the claimed performance gains are not backed by any presented data.
A novel cross -layer framework for large scale emergency communications,
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ML-MaxProp: Bridging Machine Learning and Delay-Tolerant Routing for Resilient Post-Disaster Communication
ML-MaxProp embeds an XGBoost classifier into MaxProp to predict relay suitability in disaster networks, but the claimed performance gains are not backed by any presented data.