Smart manufacturing (SM) confronts several challenges inherently suited to knowledge
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …

Injection molding is a technique with a high knowledge content. However, most of the
injection molding knowledge is stored in books, and it is difficult for personnel to clarify the …

Injection molding, the most common method used to process plastics, is a technique with a
high knowledge content; however, relevant knowledge has not been systematically …

Active cyber defense mechanisms are necessary to perform automated, and even
autonomous operations using intelligent agents that defend against modern/sophisticated AI …

Knowledge graphs play an important role in the field of knowledge management by
providing a simple and clear way of expressing complex data relationships. Injection …

The problem of modeling reactive power-voltage response characteristics of renewable
energy sources (RESs) is considered. A deep neural network (DNN)-based method is …

Due to the complex coupling effect of multiple factors, the selection of transmission line
routes is mainly dependent on manual methods. Utilizing artificial intelligence technology to …

The transformer is an important equipment in power system, whose operational reliability of
the transformer is the crucial factor to the system stability. In addition, the knowledge graph is …

The problem of modeling voltage-response characteristics of renewable energy sources
(RESs) is considered. A deep neural network-based method is adopted to track time-variant …

This paper integrates Knowledge Graph, Scale-free Network, and Bayesian Network for fault
diagnosis of the power grid. The proposed model combines Knowledge Graph based on …