Feature selection technique is a knowledge discovery tool which provides an understanding
of the problem through the analysis of the most relevant features. Feature selection aims at …

Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

The current state of computer vision methods applied to autism spectrum disorder (ASD)
research has not been well established. Increasing evidence suggests that computer vision …

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects
approximately 1% of the population and causes significant burdens. ASD's pathogenesis …

Autism spectrum disorder (ASD) is a range of neurodevelopmental disorders with behavioral
and cognitive impairment and brings huge burdens to the patients' families and the society …

From early 2020, a novel coronavirus disease pneumonia has shown a global “pandemic”
trend at an extremely fast speed. Due to the magnitude of its harm, it has become a major …

Here we summarize recent progress in machine learning model for diagnosis of Autism
Spectrum Disorder (ASD) and Attention-deficit/Hyperactivity Disorder (ADHD). We outline …

Feature selection is widely used in various fields as a key means of data dimension
reduction. The existing feature selection algorithms only use one linear or nonlinear …

At present, most brain functional studies are based on traditional frequency bands to explore
the abnormal functional connections and topological organization of patients with …

Individuals with autism spectrum disorder (ASD) have social interaction and communication
challenges due to a disruption in brain development that impacts how they perceive and …