A Literature Review of Digital Twins and Their Applications in the Internet of Things Based on Artificial Intelligence

This comprehensive literature review explores the dynamic intersection of Digital Twins, Artificial Intelligence (AI), and the Internet of Things (IoT). Emphasizing the pivotal role of Digital Twins as live representations of real-world systems, the paper delves into their integration with AI for IoT applications. The exploration encompasses Digital Twin structures, classification methods, and the transformative impact of Industry 4.0. The review extends to modeling approaches, challenges faced in the realm of Cyber-Physical Systems, and the application of Machine Learning and Deep Learning techniques in enhancing Digital Twins. The synthesis of diverse perspectives aims to provide a holistic understanding of the evolving landscape and potential future developments in this interdisciplinary field.