In last years, computer vision has shown important advances, mainly using the application of
supervised machine learning (ML) and deep learning (DL) techniques. The objective of this …

The paper presents a new feature selection technique developed in detail here to address
improved prediction accuracy not only for the machine-learning algorithm but also for …

Higher education institutions have consistently strived to provide students with top-notch
education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify …

Machine learning (ML) has advanced quickly, particularly throughout the area of health care.
The diagnosis of neurodevelopment problems using ML is a very important area of …

Definition Educational data mining (EDM) is a novel scientific area that focuses on
developing and applying methods to analyze datasets generated within educational …

Autism spectrum disorder (ASD) is a brain disorder causing issues among many young
children. For children suffering from ASD, their learning ability is typically slower when …

Autism Spectrum Disorder (ASD) impacts social interaction, communication, and behavior
as a result of variations in brain development of children. Typically, symptoms manifest …

Autism spectrum disorder (ASD) is a neurological condition characterized by difficulties with
communication and socializing, and repetitive activities. If the underlying reason is …

Abstract Autism Spectrum Disorder (ASD) presents as a neurodevelopmental condition
impacting social interaction, communication, and behavior, underscoring the imperative of …

Autism Spectrum Disorder (ASD) is a complex neurological condition characterized by a
wide range of symptoms. Early and accurate diagnosis is crucial for effective intervention …