Jul 26, 2016 · An interval type-2 fuzzy support vector machine (IT2FSVM) is proposed to solve a classification problem which aims to classify three ...
An interval type-2 fuzzy support vector machine (IT2FSVM) is proposed to solve a classification problem which aims to classify three epileptic seizure ...
An interval type-2 fuzzy support vector machine (IT2FSVM) has been proposed to deal with a classification problem which aims to classify between three epileptic ...
An interval type-2 fuzzy support vector machine (IT2FSVM) is proposed to solve a classification problem which aims to classify three epileptic seizure phases ( ...
An interval type-2 fuzzy support vector machine (IT2FSVM) is proposed to solve a classification problem which aims to classify three epileptic seizure ...
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We are here to present a new method for the classification of epileptic seizures from electroencephalogram (EEG) signals.
Dec 17, 2019 · This paper proposes a technique for the classification of EEG signals to detect the epileptic seizures by using Cascade Forward Backpropagation ...
Feb 1, 2023 · We present a new method using data mining and machine learning techniques to diagnose epileptic seizures automatically.
Dec 4, 2024 · Classification of epilepsy seizure phase using interval type-2 fuzzy support vector machines. An interval type-2 fuzzy support vector machine ...
An interval type-2 fuzzy support vector machine (IT2FSVM) is proposed to solve a classification problem which aims to classify three epileptic seizure ...