Integration of Artificial Intelligence based on Electronic Information Engineering

##plugins.themes.academic_pro.article.main##

Sathish Shankar
Rajendrakumar Ramadass

Abstract

Our analysis of the rapid development of core technologies in the new era of "Internet plus AI" is based on research into the applications of AI technology in the manufacturing sector in recent years. Next, we suggest novel approaches, methods, and configurations for intelligent manufacturing, as well as an architecture and technology system for intelligent manufacturing. In light of this, the purpose of this article is to examine artificial intelligence as it relates to Internet of Things technology in electronic information engineering. The goal is to increase people's material well-being and happiness by better optimizing artificial intelligence and IoT technology, mastering technical concepts, and applying them logically. To better simulate life and optimize information conditions, this paper analyses the experimental results through model construction. It also suggests ways to apply artificial intelligence and IoT technology to electronic information engineering. In conclusion, this research employs sixteen typical mechanics datasets to verify the correctness and generalizability of the method and concludes that it helps improve the usage of AI and IoT technologies.

##plugins.themes.academic_pro.article.details##

How to Cite
Sathish Shankar, & Rajendrakumar Ramadass. (2023). Integration of Artificial Intelligence based on Electronic Information Engineering. IIRJET, 9(2). https://doi.org/10.32595/iirjet.org/v9i2.2023.186