Publications: Feature extraction

Effective seizure detection through the fusion of single-feature enhanced-k-NN classifiers of EEG signals

Electroencephalogram (EEG) physiological signals are widely used for detecting epileptic seizure. To reduce complexity stemming from the dimensionality problem, EEG signals are often reduced into a

Seizure detection Fusion Single-feature Enhanced k-NN classifiers EEG signals Effective detection Epileptic seizure Machine learning Signal processing Medical diagnostics Neurology Feature extraction Classification algorithms Biomedical engineering Health informatics
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An enhanced quadratic angular feature extraction model for arabic handwritten literal amount recognition

Arabic script has a number of characteristics that makes it unique among other scripts. Several feature extraction methods use statistical pixel distribution-based approach to recognize handwritten

Feature extraction model Arabic handwritten
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