This paper presents a novel artificial intelligence of things (AIoT)-enabled digital twin system designed for intelligent tunnel fire safety management. The system leverages advanced deep learning algorithms and numerical simulations to accurately identify and reconstruct fire scenarios in real-time, facilitating swift decision-making
A digital twin is a powerful tool that can help monitor and optimize physical assets in real-time. Simply put, it is a virtual representation of a physical asset, enabled through data and simulators, that can be used for a variety of purposes such as prediction, monitoring, and decision-making. However, the concept of digital twin can be
Recently, Digital Twin (DT) has a growth revolution by increasing Artificial Intelligence (AI) techniques and relative technologies as the Internet of Things (IoT). They may be considered as the panacea for DT technology for various applications in the real world such as manufacturing, healthcare, and smart cities. The integration of DT and AI is a new
A digital twin is a powerful tool that can help monitor and optimize physical assets in real-time. Simply put, it is a virtual representation of a physical asset,
Here we provide a brief overview of digital twin advancements in industry and highlight the main pitfalls to avoid and challenges to overcome, to improve the
The challenges for the application of artificial intelligence in the fields of aerospace, autonomous driving, smart manufacturing and smart cities in DT technology
The concept of digital twin for health (DT4H) holds great promise to revolutionize the entire healthcare system, including management and delivery, disease
The digital twins is considered to be an effective means to realize the interactive integration of the manufacturing information world and the physical world. It makes full use of the physical models, sensor updates, and operating history to complete the mapping of physical entities in the virtual space, thereby reflecting the life cycle process of physical entities [ 8
Incorporating AI with digital twin (DT) makes DT modelling flexible and accurate, while improving the learning efficiency of AI agents. In this chapter, we present the framework
This chapter addresses the value and the synergies of combining Artificial Intelligence technologies with Digital Twins. We begin with a high level, but
Using artificial intelligence (AI) in digital twin models for smart cities can enhance the efficiency and sustainability of stormwater systems. A digital twin model that incorporates AI techniques can provide valuable insights for decision- makers and stakeholders, enabling them to make informed decisions regarding infrastructure planning, design, and
With the recent wave of digital transformation, the latest trend in every industry is to build digital twins that are instrumental not only during the
The integration of digital twins and AI has significant effects in aerospace flight detection simulation, failure warning, aircraft assembly, and even unmanned flight, and the applications and prospects of AI in digital twins are classified. Advanced computer technologies such as big data, Artificial Intelligence (AI), cloud computing, digital
Recently, Digital Twin (DT) has a growth revolution by increasing Artificial Intelligence (AI) techniques and relative technologies as the Internet of Things (IoT). They may be
Digital twins (DTs) and artificial intelligence (AI) are two vital technologies that are anticipated to play a significant role in the development and deployment of the sixth generation (6G) communication systems. A digital twin is a virtual replica of a physical object, system, or process, including its components, behavior, and
Introduction: The concept of Digital Twins (DTs) translated to drug development and clinical trials describes virtual representations of systems of various complexities, ranging from individual cells to entire humans, and enables in silico simulations and experiments. DTs increase the efficiency of drug discovery and development by digitalizing
This paper presents a summary of mechanisms for the evolution of artificial intelligence in ''internet of things'' networks. Firstly, the paper investigates how the use of new technologies in industrial systems improves organisational resilience supporting both a technical and human level. Secondly, the paper reports empirical results that
1 · Kassi Muhammad, Teef David, Giulia Nassisid, Tina Farus. As telecommunications networks become increasingly complex, the integration of advanced technologies such as network digital twins and generative artificial intelligence (AI) emerges as a pivotal solution to enhance network operations and resilience. This paper explores the synergy
Digital twins are virtual replicas of real-world systems that accurately reflect the system''s behavior, with the goal of achieving functionalities like automatic fault
A digital twin, imbued with intelligence from the physical world. The digital twin of, say, a building, is stored in Resonai''s cloud-based computer environment called Vera, and vast amounts of