The article's subject matter is to classify Electroencephalography (EEG) signals in Autism
Spectrum Disorder (ASD) sufferers. The goal is to develop a classification model using …

Children suffering from Autism Spectrum Disorder (ASD) have impaired social
communication, interaction and restricted and repetitive behaviors. ASD is caused by …

Feature extraction is a process to extract information from the electroencephalogram (EEG)
signal to represent the large dataset before performing classification. This paper is intended …

Autism is a developmental disorder that influences social communication skills. It is currently
diagnosed only by behavioral assessment. The assessment is susceptible to the experience …

Autism Spectrum Disorder (ASD), a neurodevelopmental disorder, impacts the subject's
social communication and interaction and the subjects exhibit restricted and repetitive …

Autism spectrum disorder is a brain disorder in children and is detected using magnetic
resonance imaging scan and electroencephalography (EEG) signals. This paper presents a …

Autistic spectrum disorder (ASD) which also known as autism is a syndrome shows
neurological disorder found in brain development. Autistic patients suffer from …

The classification algorithm is a new trend to discover autism disorder using
Electroencephalography (EEG) signal of normal and autistic subjects. This paper is …

A neurodevelopmental disorder recognized by insufficiency in social communication and
repetitive behaviours is expressed as an autism spectrum disorder (ASD). One of the most …

This research sets out to propose another method for the medical teams to diagnose Autism
Spectrum Disorder (ASD) in children based on the analysis on Electroencephalography …