Artificial intelligence‐enabled sensing technologies in the 5G/internet of things era: from virtual reality/augmented reality to the digital twin

Z Zhang, F Wen, Z Sun, X Guo, T He… - Advanced Intelligent …, 2022 - Wiley Online Library
With the development of 5G and Internet of Things (IoT), the era of big data‐driven product
design is booming. In addition, artificial intelligence (AI) is also emerging and evolving by …

[HTML][HTML] Predictive maintenance using digital twins: A systematic literature review

R van Dinter, B Tekinerdogan, C Catal - Information and Software …, 2022 - Elsevier
Context Predictive maintenance is a technique for creating a more sustainable, safe, and
profitable industry. One of the key challenges for creating predictive maintenance systems is …

A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies

A Thelen, X Zhang, O Fink, Y Lu, S Ghosh… - Structural and …, 2022 - Springer
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

[HTML][HTML] Digital twins: State of the art theory and practice, challenges, and open research questions

A Sharma, E Kosasih, J Zhang, A Brintrup… - Journal of Industrial …, 2022 - Elsevier
Digital Twin was introduced over a decade ago, as an innovative all-encompassing tool,
with perceived benefits including real-time monitoring, simulation, optimisation and accurate …

Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review

C Zhang, Z Wang, G Zhou, F Chang, D Ma… - Advanced Engineering …, 2023 - Elsevier
As businesses started to embrace Industry 4.0, along came the Fifth Industrial Revolution.
Industry 5.0 complements the existing Industry 4.0 paradigm for the not-too-distant future by …

[HTML][HTML] Marine energy digitalization digital twin's approaches

MM Nezhad, M Neshat, G Sylaios, DA Garcia - Renewable and Sustainable …, 2024 - Elsevier
Digital twins (DTs) promise innovation for the marine renewable energy sector using modern
technological advances and the existing maritime knowledge frameworks. The DT is a …

Machine learning for risk and resilience assessment in structural engineering: Progress and future trends

X Wang, RK Mazumder, B Salarieh… - Journal of Structural …, 2022 - ascelibrary.org
Population growth, economic development, and rapid urbanization in many areas have led
to increased exposure and vulnerability of structural and infrastructure systems to hazards …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

[HTML][HTML] Reference architecture for digital twin-based predictive maintenance systems

R van Dinter, B Tekinerdogan, C Catal - Computers & Industrial …, 2023 - Elsevier
Abstract Context Digital Twin-based predictive maintenance systems are frequently
integrated into complex systems. The success of the integration depends on the design of …

[HTML][HTML] Resilience towarded digital twins to improve the adaptability of transportation systems

H Feng, H Lv, Z Lv - Transportation Research Part A: Policy and Practice, 2023 - Elsevier
This work aims to investigate the role of the resilience of Digital Twins on the applicability of
the transportation system. A literature study is conducted to review the current status of …