Anomaly detection is a topic of interest in several areas, ranging from Industry 4.0 to Energy
Management, Smart Agriculture, Cybersecurity, and Bioinformatics. In a wide sense …

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

The compression method for wellbore trajectory data is crucial for monitoring wellbore
stability. However, classical methods like methods based on Huffman coding, compressed …

Identifying procedural errors online from egocentric videos is a critical yet challenging task
across various domains, including manufacturing, healthcare, and skill-based training. The …

The highly demanding safety standards adopted in the railway context imply that cutting-
edge technologies must be used to limit accidents and ensure their complete avoidance. As …

This study develops an automated quality inspection system based on machine learning
using the You Only Look Once version 8 (YOLOv8) object detection algorithm and deploys it …

Human dynamics—how individuals move, interact, and perceive their environment—pose
significant challenges for theoretical understanding and practical implementation in robotics …