Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …

Genomic selection, the application of genomic prediction (GP) models to select candidate
individuals, has significantly advanced in the past two decades, effectively accelerating …

Machine Learning (ML) is now used in a range of systems with results that are reported to
exceed, under certain conditions, human performance. Many of these systems, in domains …

In recent years, there has been a growing interest in investigating the influence of biophilic
design on occupants' psychological comfort and well-being in the built environment …

In this study, a new technique for predicting roadways stability in tunneling and underground
space was proposed based on a combination of particle swarm optimization (PSO) …

Main conclusion Genomic selection and its importance in crop breeding. Integration of GS
with new breeding tools and developing SOP for GS to achieve maximum genetic gain with …

Two fundamental problems have inhibited progress in the simulation of river water quality
under climate (and other) uncertainty: 1) insufficient data, and 2) the inability of existing …

Physical violence detection using multimedia data is crucial for public safety and security.
This is an important research area in information security and digital forensics. Research in …

Although deep learning has been explored extensively for computer‐aided medical imaging
diagnosis in human medicine, very little has been done in veterinary medicine. The goal of …

As consequence of the various genomic sequencing projects, an increasing volume of
biological sequence data is being produced. Although machine learning algorithms have …