Abstract: Medical datasets are usually imbalanced, where negative cases severely outnumber positive cases. Therefore, it is essential to deal with this data skew problem when training machine learning ...
Computational Cost Analysis and Data-Driven Predictive Modeling of Cloud-Based Online-NILM Algorithm
Abstract: Online non-intrusive load monitoring algorithms have captivated academia and industries as parsimonious solutions for household energy efficiency monitoring as well as a safety control, ...
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