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Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...
Permanent magnet arc motor (PMAM) is widely used in some scanning systems, such as the astronomical telescopes and large antennas. In order to address the optimization design of the PMAM, a new ...
The study presents a unique approach by integrating multiple machine learning techniques, leveraging the strengths of Random Forest and Gradient Boosting. The authors developed a novel ensemble ...
Prediction of Imbalance Prices Through Gradient Boosting Algorithms: An Application to the Greek Balancing Market Abstract: An accurate prediction of imbalance prices is crucial for making ...
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