A robust adaptive hierarchical learning crow search algorithm for feature selection
Feature selection is a multi-objective problem, which can eliminate irrelevant and redundant
features and improve the accuracy of classification at the same time. Feature selection is a …
features and improve the accuracy of classification at the same time. Feature selection is a …
Low Complexity Energy Disaggregation Algorithm for Non-intrusive Load Monitoring
Energy Disaggregation is the efficient technique to detect the energy profile of individual
electric load by disaggregating the overall power consumption. The benefits of energy …
electric load by disaggregating the overall power consumption. The benefits of energy …
Clustering Stocks by ESG Score Values, Risks and Returns: Case of Expanded German Index DAX
A Kaminskyi, M Nehrey - International Conference of Artificial Intelligence …, 2022 - Springer
The paper is devoted to the application of the cluster approach to portfolio management,
based on the inclusion of sustainability component in the clustering. ESG-score provided by …
based on the inclusion of sustainability component in the clustering. ESG-score provided by …