This paper examines the relationship of the leading financial assets, Bitcoin, Gold, and S&P
500 with GARCH-Dynamic Conditional Correlation (DCC), Nonlinear Asymmetric GARCH …

With the development of smart sensors, large amount of operating data collected from a
complex system as a high-speed train providing opportunities in efficient and effective fault …

Fault detection techniques based on graph neural networks have been a trending topic. With
the issue of poor robustness, the accuracy relies highly on the quality of the monitoring data …

Big data has had an immense effect on most social and industrial fields. It has three main
characteristics, namely volume, variety, and velocity. Volume refers to the tremendous size …

Recent developments in artificial intelligence (AI) have led to a significant increase in the
use of AI technologies. Many experts are researching and develo** AI technologies in …

Technology analysis (TA) is an important issue in the management of technology. Most R&D
(Research & Development) policies have depended on diverse TA results. Traditional TA …

In Discrete Event System, such as railway onboard system, overwhelming volume of textual
data is recorded in the form of repair verbatim collected during the fault diagnosis process …

Technology developments change society, and society demands new and innovative
technology developments. We analyze technology to understand society and technology …

In complex industrial systems, causal inference plays a crucial role in improving production
and tracing faults. The causal inference of industrial systems encompasses two main steps …

Technology analysis is one of the important tasks in technology and industrial management.
Much information about technology is contained in the patent documents. So, patent data …