A notebook-based, from-scratch implementation of a convolutional autoencoder for MNIST in PyTorch — built to learn (and show) how an image gets compressed into a small latent vector and reconstructed ...

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.