Purpose By calculating the information entropy of the indicator and measuring the amount of
information in the data, this paper determines the weight of the indicator according to the …

As service-oriented computing systems become more buoyant and complex, the occurrence
of faults dramatically increases. Fault prediction plays a crucial role in the service-oriented …

DeepFake technology has created an existential crisis around authenticity in digital media
with the ability to create nearly imperceptible forgeries on a massive scale, such as …

Fault prediction in service-oriented architecture-based models has been recognized as one
of the essential processes to reduce computational expenses and computational …

Purpose Financial price forecast issues are always a concern of investors. However, the
financial applications based on machine learning methods mainly focus on stock market …

With the continuous upgrading and transformation of the intelligentisation of China's
manufacturing industry, and in response to the requirements for further intelligentisation of …

Recognition and labeling of faults in wind turbines with a density-based clustering algorithm
| Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish …

In order to explore the application potential of digital twin in military innovation, based on the
definition of digital twin and its application practice in civil field, the application advantages …

Recently, service-oriented computing paradigms have become a trending development
direction, in which software systems are built using a set of loosely coupled services …

Purpose This study aims to solve the problems of large training sample size, low data
sample quality, low efficiency of the currently used classical model, high computational …