Science Daily

AI just found 5 powerful materials that could replace lithium batteries

AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel porous materials, researchers may have paved the way for more powerful and ...
GitHub

autoencoder-mnist

Image Denoising with Autoencoders in R (University Project) Built a convolutional autoencoder in R using Keras/TensorFlow to perform image denoising on MNIST and CIFAR-10 datasets with varying levels ...
GitHub

README.md

This project implements a Convolutional Autoencoder (CAE) using TensorFlow and Keras to perform image upscaling. The goal is to take low-resolution (28x28) images of cats and dogs as input and train ...
IEEE

RAT-CC: A Recurrent Autoencoder for Time-Series Compression and Classification

Abstract: The growth of interconnected devices has led to an enormous volume of temporal data that requires specialized compression models for efficient storage. Besides this, most applications need ...
IEEE

Satellite Image Denoising Using Deep Learning: Autoencoder Decoder Application

Abstract: Through deep learning Autoencoder Decoders, it is possible to clean noisy or damaged image data received from satellites. Two models with a PSNR of 25.6 dB and 25.54 dB were generated using ...
ahajournals.org

Abstract 4143475: Early Dementia Prediction Using Electrocardiogram: Insights from Variational Autoencoder-Derived Features

Introduction: Dementia, characterized by cognitive decline and impaired judgment, imposes a significant economic burden due to its rising prevalence and high diagnostic costs. Recent research has ...
C&EN

Discovery of Vascular Endothelial Growth Factor Receptor 2 Inhibitors Employing Junction Tree Variational Autoencoder with Bayesian Optimization and Gradient Ascent

Bioinformatics Group, Department of Computer Science & Interdisciplinary Center for Bioinformatics & School for Embedded and Composite Artificial Intelligence (SECAI), Leipzig University, Härtelstraße ...