DenoiseNet is a powerful image processing project that utilizes a convolutional autoencoder to effectively remove noise from images, enhancing their quality and visual appeal. This project focuses on ...
Real Estate Price Prediction using Auto encoder with the Regression Decisson Tree This project aims to predict real estate prices using a dataset with 7 continuous features and 424 samples. The goal ...
This study aims to explore an autoencoder-based method for generating brain MRI images of patients with Autism Spectrum Disorder (ASD) and non-ASD individuals, and to discriminate ASD based on the ...
Abstract: Non-parallel many-to-many voice conversion remains an interesting but challenging speech processing task. Recently, AutoVC, a conditional autoencoder based method, achieved excellent ...
Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...
Abstract: The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, ...