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Every research theme, method and application area named across 12 faculty profiles and 331 courses. Pick a word to see who works on it and where it is taught.
Word size is total weighted mentions across research interests, publication titles, course descriptions and funded projects. Focus areas are inferred from where each mention came from. Rebuilt automatically whenever the underlying records change — last on 23 Sep 2026, 14:08.
Support Vector Machine
This paper first uses three classifiers: random forest, K -nearest neighbors and linear support vector machine to predict the occurrence of NTL in a real dataset of an electric supply company containing approximately 80,000 monthly consumption records.
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