In metal additive manufacturing (AM), the material microstructure and part geometry are
formed incrementally. Consequently, the resulting part could be defect-and anomaly-free if …

In the rapidly changing cybersecurity landscape, threat hunting has become a critical
proactive defense against sophisticated cyber threats. While traditional security measures …

Software-intensive systems produce logs for troubleshooting purposes. Recently, many
deep learning models have been proposed to automatically detect system anomalies based …

Logs have been an imperative resource to ensure the reliability and continuity of many
software systems, especially large-scale distributed systems. They faithfully record runtime …

The use of system logs for detecting and troubleshooting anomalies of production systems
has been known since the early days of computers. In spite of the advances in the area, the …

Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …

While deep learning (DL) has emerged as a powerful technique, its benefits must be
carefully considered in relation to computational costs. Specifically, although DL methods …

Abstract System logs record detailed information about system operation and are important
for analyzing the system's operational status and performance. Rapid and accurate …

Due to the complexity of the oil and gas station system, the operational data, with various
temporal dependencies and inter-metric dependencies, has the characteristics of diverse …

In modern enterprise security, endpoint detection products fire an alert when process activity
matches known attack behavior patterns. Human analysts then perform Root Cause …