Knowledge-based optimization algorithm for feature selection in promoting circular economy through blockchain
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Researchers are exploring various optimization algorithms for feature selection, including the secretary bird optimization algorithm and others, to improve tasks such as solar and wind forecasting, high dimensional data classification, and slope stability classification. These algorithms are being applied in different fields, including machine learning and deep learning. The goal of this research appears to be promoting the circular economy through blockchain, although the connection between these topics and the specific algorithms being studied is not clear.
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