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

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

Heterogeneous mental disorders such as Autism Spectrum Disorder (ASD) are notoriously
difficult to diagnose, especially in children. The current psychiatric diagnostic process is …

The vertical distribution of air pollutants in urban street canyons is closely related to
residents' health. However, the vertical air quality in urban street canyons has rarely been …

The von Neumann bottleneck has significantly increased the energy consumption of
processing units and memory systems, especially in data-intensive computations such as …

Spatiotemporal data mining aims to discover interesting, useful but non-trivial patterns in big
spatial and spatiotemporal data. They are used in various application domains such as …

Together, the heat island effect and air pollution pose a threat to human health and well-
being in urban settings. Nature-based solutions such as planting trees are a mitigation …

Background Early stroke prognosis assessments are critical for decision-making regarding
therapeutic intervention. We introduced the concepts of data combination, method …

Attention deficit hyperactivity disorder (ADHD) is one of the most common brain disorders
among children. This disorder is considered as a big threat for public health and causes …

Brain functional network (BFN) based on electroencephalography (EEG) has been widely
used to diagnose brain diseases, such as major depressive disorder (MDD). However, most …