We present a Python‑based framework for denoising one‑dimensional spectroscopy signals using a fully connected autoencoder. The system is designed to recover clean spectral profiles from noisy ...

Abstract: As with any physical instrument, hyperspectral cameras induce different kinds of noise in the acquired data. Therefore, Hyperspectral denoising is a crucial step for analyzing hyperspectral ...

Abstract: Electrocardiogram (ECG) signals are widely utilized for cardiovascular disease monitoring. However, these signals are often susceptible to various types of noise during acquisition, which ...

Owing to the immense popularity of ray-tracing and path tracing rendering algorithms for visual effects, there has been a surge of interest in developing filtering and reconstruction methods to deal ...

This project uses the Galaxy Zoo: Hubble (or GZ:H) dataset to de-noise, reconstruct, and cluster images of galaxies using their visual features via an autoencoder and contrastive learning. The dataset ...