Results 291 to 300 of about 97,141 (337)

The Future of Digital Twin Research and Development

Journal of Computing and Information Science in Engineering
While digital twin (DT) has made significant strides in recent years, much work remains to be done in the research community and in the industry to fully realize the benefits of DT.
Douglas L. Van Bossuyt, Douglas Allaire, Jason Bickford, Thomas A. Bozada, W. Chen, Roger P. Cutitta, R. Cuzner, Kristen Fletcher, Ronald E. Giachetti, Britta Hale, H. Huang, M. Keidar, Astrid Layton, Allison Ledford, Marina Lesse, Jonathan Lussier, Richard Malak, Bryan L. Mesmer, Gregory Mocko, G. Oriti, Daniel Selva, Cameron Turner, M. Watson, A. Wooley, Zhen Zeng   +24 more
semanticscholar   +1 more source

Digital Twin for O-RAN Toward 6G

IEEE Communications Magazine
In future wireless systems beyond 5G and 6G, addressing diverse applications with varying quality requirements is essential. Open radio access network (O-RAN) architectures offer the potential for dynamic resource adaptation based on traffic demands ...
H. Nguyen, Kexuan Sun, D. To, Quoc-Tuan Vien, Tuan Anh Le   +4 more
semanticscholar   +1 more source

CMOR-DT: Tokamak device maintenance manipulator based on digital twin

2023 IEEE Smart World Congress (SWC), 2023
Chenhui Wan, Congju Zuo, Xi Zhang, Youmin Hu, Zibo Qi, Tao Huang   +5 more
openaire   +1 more source

Advancements in Digital Twin Technology and Machine Learning for Energy Systems: A Comprehensive Review of Applications in Smart Grids, Renewable Energy, and Electric Vehicle Optimisation

Energy Conversion and Management: X
The growing interest in Digital Twin (DT) Technology represents a significant advancement in academic research and industrial applications. Leveraging advancements in Internet of Things (IoT), sensors, and communication devices, DTs are increasingly ...
Opy Das, M. H. Zafar, Filippo Sanfilippo, S. Rudra, M. Kolhe   +4 more
semanticscholar   +1 more source

Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization

Journal of manufacturing systems
Laser-directed-energy deposition (DED) offers advantages in additive manufacturing (AM) for creating intricate geometries and material grading. Yet, challenges like material inconsistency and part variability remain, mainly due to its layer-wise ...
V. Karkaria, Anthony Goeckner, Rujing Zha, Jie Chen, Jianjing Zhang, Qi Zhu, Jian Cao, R. X. Gao, Wei Chen   +8 more
semanticscholar   +1 more source

Digital Twin of Optical Networks: A Review of Recent Advances and Future Trends

Journal of Lightwave Technology
Digital twin (DT) has revolutionized optical communication networks by enabling their full life-cycle management, including planning, prediction, optimization, upgrade, and troubleshooting.
Danshi Wang, Yuchen Song, Yao Zhang, Xiaotian Jiang, Jiawei Dong, Faisal Nadeem Khan, T. Sasai, Shanguo Huang, Alan Pak Tao Lau, Massimo Tornatore, Min Zhang   +10 more
semanticscholar   +1 more source

Generative AI-Driven Digital Twin for Mobile Networks

IEEE Network
The sixth generation mobile network (6G) is evolving to provide ubiquitous connections, multidimensional perception, native intelligence, global coverage, etc., which poses intense demands for network design to tackle the highly dynamic context and ...
Haoye Chai, Huandong Wang, Tong Li, Zhaocheng Wang   +3 more
semanticscholar   +1 more source

Cyber-Physical Systems and Digital Twins (DT) in Construction Projects

2022
Abdul Hannan Qureshi, Wesam Salah Alaloul, Khalid Mhmoud Alzubi   +2 more
openaire   +1 more source

Digital Management Methodology for Building Production Optimization through Digital Twin and Artificial Intelligence Integration

Buildings
In a construction project schedule, delays in delivery are one of the most important problems. Delays can be caused by several project components; however, the issue is amplified when delays occur simultaneously.
G. Piras, F. Muzi, Virginia Adele Tiburcio   +2 more
semanticscholar   +1 more source

NOAA AI-based 3D earth and space observing digital twin (EO-DT)

To explore digital twin technologies for this EO-DT use case, Lockheed Martin (LM) and NVIDIA partnered on a 2-year program to build an AI-Driven Earth and Space Observing Digital Twin prototype which ingests, analyzes, and visualizes geophysical data coming from five Earth system domains (atmosphere, ocean, cryosphere, land and hydrology, and space ...
Montgomery, Lynn, Ballance, Brandon, Hoffmann, Gary   +2 more
openaire   +1 more source