Abstract: An algorithm based on spatio-temporal data mining is proposed for the multidimensional dynamic monitoring and early warning needs that exist in the reserve management of power grid projects.
We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...
Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...
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