BioTechniques

Science, strategy and soft skills: highlights from the 2026 ABRF Annual Meeting

In this conference report from ABRF 2026, the authors reflect on the meeting's insights into core facility research and ...
IEEE

Fusion Graph Structure Learning-Based Multivariate Time Series Anomaly Detection With Structured Prior Knowledge

Abstract: Multivariate time series anomaly detection (MTSAD) plays a crucial role in the Internet of Things (IoT) to identify device malfunction or system attacks. Graph neural networks (GNN) are ...
IEEE

Graph Structure Change-Based Anomaly Detection in Multivariate Time Series of Industrial Processes

Abstract: Multivariate time series anomaly detection plays an important role for the safe operation of industrial devices and systems. At present, many effective methods have the major limitation that ...
dmu.ac.uk

Mechatronics and Robotics

Explore topics including embedded systems, 3D design, robotics and AI, digital electronics, and dynamics and control in this multidisciplinary course. We offer more than a degree — every course is ...