This systematic literature review comprehensively examines the application of Large
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …

Abstract Information systems need to process a large amount of event monitoring data. The
process of finding the relationships between events is called correlation, which creates a …

With the burgeoning growth of online video platforms and the escalating volume of video
content, the demand for proficient video understanding tools has intensified markedly. Given …

Logs are important in modern software development with runtime information. Log parsing is
the first step in many log-based analyses, that involve extracting structured information from …

Logs are primary information resource for fault diagnosis and anomaly detection in large-
scale computer systems, but it is hard to classify anomalies from system logs. Recent studies …

The success of deep learning (DL) techniques has led to their adoption in many fields,
including attack investigation, which aims to recover the whole attack story from logged …

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 …

Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …

With significant advancements in Transformers LLMs, NLP has extended its reach into many
research fields due to its enhanced capabilities in text generation and user interaction. One …

Due to the rising number of sophisticated customer functionalities, electronic control units
(ECUs) are increasingly integrated into modern automotive systems. However, the high …