IEEE

The Acoustic Signal Denoising Method for Rotating Machinery Based on Virtual Sample Integrating the Deep Neural Network

Abstract: The clean signal is used as the reference signal in acoustic signal denoising methods based on the supervised deep learning, but the clean signal of the operating state of the rotating ...
GitHub

SVG: Latent Diffusion Model without Variational Autoencoder

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.
IEEE

Collaborative Localization Using Multiple UAVs: A Deep Denoising Autoencoder-Based Data Compression Approach

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 ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...