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Epileptic Activity Recognition via ELM by Nasreen Ali is a document available to read on EtoBox.

What is Epileptic Activity Recognition via ELM about?

The article presents a Deep Learning model using Extreme Learning Machine (ELM) for the automated detection of epileptic seizures through EEG data, aiming to improve diagnosis accuracy in clinical settings. The study highlights the limitations of traditional EEG analysis and the need for intelligent systems to recognize abnormal activities associated with epilepsy. Results indicate that the proposed ELM model achieved 100% accuracy, outperforming other machine learning algorithms in classifying epileptic an

Author

Nasreen Ali

Language

EN