Ensemble agent based machine learning approach for energy efficient attack detection and prevention in MANETs
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Research is being conducted on the use of ensemble agent-based machine learning for energy efficient attack detection and prevention in mobile ad-hoc networks. Other studies are exploring similar concepts, such as ensemble-based detection and adaptive routing protocols, in various fields including internet of things networks and cloud computing. The application of machine learning and ensemble learning is also being investigated in other areas, including financial market prediction, skin lesion detection, and wind speed forecasting.
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