overall accuracy of the deep learning technologies in analysing facial images (as opposed to clinicians’ analyses), we will also provide detailed analysis of the disease contexts and the techniques ...

Abstract: In this study, an automatic modulation classifier based on Convolutional Neural Network (CNN) was developed using deep learning algorithms ... representations of complex signals. A CNN model ...

Abstract: The increasing severity of traffic congestion has driven the application of deep reinforcement learning (DRL) in traffic signal ... However, the periodic fluctuations in traffic flow may ...

We aimed to assess the association between deep learning-derived cardiac chamber volumes (right atrial, right ventricular, left ventricular, and left atrial) and mass (left ventricular) from these ...

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the accuracy of subgraph matching—a critical task in fields ranging from drug ...