Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...

Image denoising is a key task in computer vision where the objective is to remove unwanted noise from images while preserving important visual details. Traditional filtering techniques like Gaussian ...

This code implements a Denoising Autoencoder using PyTorch to clean noisy images from the MNIST dataset. It uses a convolutional neural network architecture, where the encoder compresses the input ...

A fault detection method for power conversion circuits using thermal images and a convolutional autoencoder is presented. The autoencoder is trained on thermal images captured from a commercial power ...

Abstract: Early identification of prodromal Parkinson’s disease (PD) is critical, as interventions at this stage can significantly alter its course. We propose a deep learning framework that combines ...