Discrimination of ovarian tumors is necessary for proper treatment. In this study, we developed a convolutional neural network model with a convolutional autoencoder (CNN-CAE) to classify ovarian ...

In cognitive radio networks (CRNs), collaborative spectrum sensing has emerged as a promising technique for detecting primary user activity. However, the effectiveness of user cooperation is ...

Abstract: Smart grids rely on precise timing synchronization for efficient operation and real-time decision-making, while conventional GPS-based methods face vulnerabilities. Pulsar-inspired timing ...

Abstract: With the advancement of remote sensing image denoising, many high-precision algorithms have emerged; however, their fixed architectures limit flexibility in handling diverse noise types.