publié le: 2023
Graph neural networks and convolutional architectures have proven to be pivotal in improving the prediction of molecular properties in drug discovery....
Diagnosis of autism considers a challenging task for medical experts since the medical diagnosis mainly depends on the abnormalities in the brain func...
A light microscopy-based histopathology diagnosis of human brain specimens obtained from epilepsy surgery remains the gold standard to confirm the und...
Health monitoring, rehabilitation, and fitness are just a few domains where human activity recognition can be applied. In this study, a deep learning...
Mobile and edge computing devices for always-on classification tasks require energy-efficient neural network architectures. In this paper we present s...