Abstract: This paper begins with an overview of several competitive learning algorithms in artificial neural networks ... Finally, we report a reconfigurable parallel neurocomputer architecture we ...

A deep learning (DL)–based model achieved a high ... Researchers developed a DL-based tool using the neural network U-Net (nnU-Net) architecture for the automated segmentation of retrospectively ...

Abstract: The rapid proliferation of computing domains relying on Internet of Things (IoT) devices has created a pressing need for efficient and accurate deep-learning (DL ... To address this ...