Results 281 to 290 of about 3,509,576 (320)

Digital Twins

The convergence of digital twins and artificial intelligence (AI) is ushering in a transformative era for businesses across various industries. Digital twins, virtual replicas of physical entities or processes, have evolved beyond their traditional use in manufacturing and are now playing a pivotal role in optimizing operations, enhancing decision ...
S. C. Vetrivel, K. C. Sowmiya, V. Sabareeshwari   +2 more
  +6 more sources

An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing

Engineering optimization (Print)
This article reviews optimization methods that enhance adaptability, efficiency and decision making in modern manufacturing, emphasizing the transformative role of artificial intelligence (AI) and digital twin technologies.
V. Karkaria, Ying-Kuan Tsai, Yi-Ping Chen, Wei Chen   +3 more
semanticscholar   +1 more source

Enabling technologies and tools for digital twin

, 2019
Digital twin is revolutionizing industry. Fired by sensor updates and history data, the sophisticated models can mirror almost every facet of a product, process or service.
Qinglin Qi, F. Tao, Tianliang Hu, N. Anwer, Ang Liu, Yongli Wei, Lihui Wang, A. Nee   +7 more
semanticscholar   +1 more source

Cardiovascular care with digital twin technology in the era of generative artificial intelligence.

European Heart Journal
Digital twins, which are in silico replications of an individual and its environment, have advanced clinical decision-making and prognostication in cardiovascular medicine. The technology enables personalized simulations of clinical scenarios, prediction
P. Thangaraj, S. Benson, E. Oikonomou, F. Asselbergs, R. Khera   +4 more
semanticscholar   +1 more source

AoI-Aware User Service Satisfaction Enhancement in Digital Twin-Empowered Edge Computing

IEEE/ACM Transactions on Networking
The emerging digital twin technique enhances the network management efficiency and provides comprehensive insights on network performance, through mapping physical objects to their digital twins.
Jing Li, Song Guo, W. Liang, Jianping Wang, Quan Chen, Zichuan Xu, Wenzheng Xu   +6 more
semanticscholar   +1 more source

Five Disruptive Technologies in 6G to Support Digital Twin Networks

IEEE wireless communications
With the expected explosive growth of the number of mobile user devices and data traffic in the next decade and beyond, and the expected development of various new applications and services such as vehicle-to-everything, extended reality and smart city ...
Qi Guo, Fengxiao Tang, Tiago Koketsu Rodrigues, N. Kato   +3 more
semanticscholar   +1 more source

Resource-Efficient Federated Learning and DAG Blockchain With Sharding in Digital-Twin-Driven Industrial IoT

IEEE Internet of Things Journal
The development of Industry 4.0 relies on emerging technologies of digital twin, machine learning, blockchain, and Internet of Things (IoT) to build autonomous self-configuring systems that maximize manufactory efficiency, precision, and accuracy.
Li Jiang, Yi Liu, Hui Tian, Lun Tang, Shengli Xie   +4 more
semanticscholar   +1 more source

Blockchain Assisted Intra-Twin and Inter-Twin Authentication Scheme for Vehicular Digital Twin System

IEEE transactions on intelligent transportation systems (Print)
The potency of digital twins to mitigate the shortcomings of traditional mobility systems, such as Vehicular Adhoc Network (VANET) can reconfigure it into an intelligent transportation domain with bolstered processing, storage capabilities and decision ...
Deepika Gautam, Garima Thakur, Pankaj Kumar, Ashok Kumar Das, Youngho Park   +4 more
semanticscholar   +1 more source

Digital Twin Networks: A Survey

IEEE Internet of Things Journal, 2021
Yiwen Wu, Kecheng Zhang, Yan Zhang
semanticscholar   +1 more source

Digital twin and digital twin–driven manufacturing

2023
Apurva Gupta, Ankit Khare, Rahul Rawat
openaire   +1 more source