News

IEEE6d
Multiscale Variational Autoencoder Aided Convolutional Neural Network for Pose Estimation of Tunneling Machine Using a Single Monocular Image
A novel multiscale variational autoencoder aided convolutional neural network (MSVAE-CNN) model is developed to estimate the current absolute 6-DoF pose of the tunneling machine in an end-to-end ...
IEEE8d
Conditional Variational Auto-Encoder and Extreme Value Theory Aided Two-Stage Learning Approach for Intelligent Fine-Grained Known/Unknown Intrusion Detection
Abstract: Promptly discovering unknown network attacks is critical for reducing the risk of major loss imposed on organizations and information infrastructure. This paper aims at developing an ...
GitHub22d
Deep Neural Network with probabilistic description of damage condition space via Gaussian Mixture Model
This code aims at quantifying the uncertainty of mooring line fault detection predictions using a multivariate Gaussian mixture variational autoencoder. The scripts included in this code encompass ...
GitHub20d
autoencoder-mnist
A prototype system that uses a CNN encoder and edge-based features to retrieve visually similar fashion items from the Fashion MNIST dataset using cosine similarity.