Implementation of CNN based autoencoders for color images in tensorflow.

Malfunctioning Industrial Machine Investigation and Inspection

My first research paper

An image similarity search engine has been developed that finds images similar to the image selected by the user from the dataset provided by the user. The latent vectors of the images are generated by a CNN based autoencoder model. KNN is used to find images similar to the selected image. An image similarity search engine platform has been created

In this project, I will implement a CNN autoencoder for the Fashion-MNIST dataset, and examine the learned encodings.

Image Steganography using neural networks and autoencoders in MATLAB

Multi-model bearing fault detection using vibration analysis, deep learning, and explainable AI

This project was developed during the course Laboratory of Computational Physics

A U-Net based CNN autoencoder designed to denoise noisy images before classification, improving input quality and boosting overall model accuracy.