Abstract: In recent years, the deployment of multiple Unmanned Aerial Vehicles (UAVs) for source localization has significantly increased in military, civil, and commercial domains. The transmission ...

This project implements a 4-layer MLP Autoencoder trained on the MNIST handwritten digit dataset. The autoencoder learns to compress 784-dimensional images (28×28 pixels) into a compact latent ...

I've been testing PC and mobile software for more than 20 years, focusing on photo and video editing, operating systems, and web browsers. Prior to my current role, I covered software and apps for ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.