早发现, 早诊断, 早干预是开展自闭症儿童教育康复工作的共识, 但传统识别和诊断方法局限及
专业人员缺乏常导致自闭症儿童错失最佳干预期. 为改善现状, 近年来机器学习凭借其客观准确 …

Autism spectrum disorder (ASD) is mostly diagnosed according to behavioral symptoms in
sensory, social, and motor domains. Improper motor functioning, during diagnosis, involves …

Movement is prospective. It structures self‐generated engagement with objects and social
partners and is fundamental to children's learning and development. In autistic children …

To effectively evaluate the gross motor ability of autistic children, we proposed a method of
computerised evaluation of gross motor skills (CEGM). The CEGM integrates Dynamic Time …

Creating a friendly and effective environment for diagnosing autism in children is a
challenging research topic. This thesis proposes a diagnostic system for autistic children …

Thermodynamic calculation is the theoretical basis for the study of initiation and detonation,
as well as the prerequisite for forecasting the detonation performance of unknown …

In recent years, autism spectrum disorder has gradually become a major global public
health problem due to complex etiology and large group, and its prevalence rate has been …

Classification is based on machine learning, in which each element in a set of data is
classified into one of a predetermined set of groups. In data mining, an artificial neural …

Data Classification is a managed learning process, which sort and organize the data into
various categories to be used in more effective and efficient way. Feature selection (FS) is a …