In a rapidly evolving digital landscape, machine learning is at the forefront of computational advancements, revolutionizing industries from healthcare to finan ...

Simulations showed that by using the BGG model, it is possible to alter network dynamics from a vulnerable 4/7 corrupted node ratio to a safer 4/9 distribution through the timely release of backup ...

A new study has identified specific brain networks that regulate the intensity of political engagement, regardless of ideology.

Researchers combined core-shell rubber particles with ZnO nanoparticles to develop tougher, more heat-resistant epoxy ...

One of the most striking claims in the review is that AI-based classification models can meet or exceed the performance of ...

Abstract: Deep convolutional neural networks (CNNs) such as AlexNet ... Thus, we propose a new deep CNN feature ensemble frame based on multiple cross validation resampling results of the single ...

To classify temporal muscle synergies and quantify connection weights for both self-connections and connections between muscle synergies, we employed a graph neural network ... was verified through ...

Neurodevelopmental disorders such as autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) have complicated etiologies ...

Examples like Intel's Loihi chips tend to get competitive performance out of far lower clock speeds and energy use, but they ...

Radiologists who evaluate CT scans have diagnostic challenges due to the complexity of underlying anatomy and the potential ...