IEEE

A Multi-Modal Autoencoder for Unsupervised Anomaly Detection in Building Energy Consumption

Abstract: Our investigation introduces a novel multi-modal autoencoder architecture designed for unsupervised detection of anomalies in commercial building energy consumption. The proposed model ...
IEEE

Lightweight Real-Time Anomaly Detection and Prediction for Surveillance Videos Using a Self-Supervised Hybrid Autoencoder and Dynamic Graph CNN-LSTM Framework

Abstract: Anomaly detection in surveillance videos is a critical task for ensuring public safety, requiring both high accuracy and real-time efficiency. This study presents a novel lightweight anomaly ...
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.
Space.com

A SpaceX Starlink satellite is tumbling and falling out of space after partial breakup in orbit

An anomaly led to loss of contact with the satellite and "the release of a small number of trackable low relative velocity objects." When you purchase through links on our site, we may earn an ...