IEEE

Convolutional Autoencoder-Based Anomaly Detection in PPG Signals Using a Necklace Wearable Device

Abstract: Detecting anomalies in PPG signals is crucial for the early identification of cardiovascular conditions, such as arrhythmias, poor perfusion, or stress induced by daily activities, thereby ...
Scientific Research Publishing

Covariant-Scale: Riemannian Manifold Learning for Scale-Invariant Video Anomaly Detection ()

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera images ...
Frontiers

A self-learning multimodal approach for fake news detection

The rapid growth of social media has resulted in an explosion of online news content, leading to a significant increase in the spread of misleading or false information. While machine learning ...
IEEE

Fault Detection Method for Power Conversion Circuits Using Thermal Image and Convolutional Autoencoder

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 ...