This study addresses anomaly detection in smart city environments driven by the Internet of
Things. In these cities, digital interconnection and the extensive network of sensors generate …

Premium maize varieties are the focus of attention of farmers, breeders, food manufacturers,
and people in other industries. Maize seed fraud causes huge financial losses to these …

Abstract Machine fault detection is a crucial task in prognostics health management (PHM),
while most of the data-driven methods lack model interpretability and transparency. Aiming …

Industrial Robots and Multi-axis Machines have become increasingly popular in recent
years, in a diverse range of industries. These complex and expensive machines are …

Unsupervised anomaly detection models are crucial for the efficiency of industrial
applications. However, frequent false alarms hinder the widespread adoption of …

This work introduces a structural approach to addressing online learning problems by
leveraging dataset relationships to represent the problem and estimate the likelihoods for a …

Modern industrial systems are complex and large-scale, constituting multiple components
and interconnections. These components interact through material and energy interfaces …