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The synchronization of digital twins (DT) serves as the cornerstone for effective operation of the DT framework. However, the limitations of channel capacity can greatly affect the data transmission efficiency of wireless communication.…

Emerging Technologies · Computer Science 2025-03-07 Bin Li , Haichen Cai , Lei Liu , Zesong Fei

In many industries, the scale and complexity of systems can present significant barriers to the development of accurate digital twin models. This paper introduces a novel methodology and a modular computational tool utilizing machine…

Computational Engineering, Finance, and Science · Computer Science 2025-09-23 Deniz Karanfil , Bahram Ravani

Digital twins have become popular for their ability to monitor and optimize a process or a machine, ideally through its complete life cycle using simulations and sensor data. In this paper, we focus on the challenge of accurate and…

Systems and Control · Electrical Eng. & Systems 2023-10-30 Karim Cherifi , Philipp Schulze , Volker Mehrmann , Leo Goßlau , Pascal Lünnemann

The integration of machine learning tools into telecom networks, has led to two prevailing paradigms, namely, language-based systems, such as Large Language Models (LLMs), and physics-based systems, such as Digital Twins (DTs). While…

The design and operation of systems are conventionally viewed as a sequential decision-making process that is informed by data from physical experiments and simulations. However, the integration of these high-dimensional and heterogeneous…

Applications · Statistics 2025-03-04 Anton van Beek , Vispi Karkaria , Wei Chen

On-demand service provisioning is a critical yet challenging issue in 6G wireless communication networks, since emerging services have significantly diverse requirements and the network resources become increasingly heterogeneous and…

Systems and Control · Electrical Eng. & Systems 2022-08-05 Longfei Ma , Nan Cheng , Xiucheng Wang , Ruijin Sun , Ning Lu

This study presents an AI enhanced IoT framework for predictive maintenance and affordability optimization in smart microgrids using a Digital Twin modeling approach. The proposed system integrates real time sensor data, machine learning…

Systems and Control · Electrical Eng. & Systems 2025-11-18 Koushik Ahmed Kushal , Florimond Gueniat

Digital twins of natural systems must remain aligned with physical systems that evolve over time, are only partially observed, and are typically modeled by mechanistic simulators whose parameters cannot be measured directly. In such…

Machine Learning · Computer Science 2026-04-23 Pascal Archambault , Houari Sahraoui , Eugene Syriani

Test-time adaptation allows pretrained models to adjust to incoming data streams, addressing distribution shifts between source and target domains. However, standard methods rely on single-dimensional linear classification layers, which…

Machine Learning · Computer Science 2026-03-27 Sameer Ambekar , Marta Hasny , Laura Daza , Daniel M. Lang , Julia A. Schnabel

Synchronization is fundamental for mirroring real-world entities in real-time and supporting effective operations of Digital Twins (DTs). Such synchronization is enabled by the communication between the physical and virtual realms, and it…

Networking and Internet Architecture · Computer Science 2024-04-23 Lal Verda Cakir , Sarah Al-Shareeda , Sema F. Oktug , Mehmet Özdem , Matthew Broadbent , Berk Canberk

The rapid development of Industrial Internet of Things (IIoT) requires industrial production towards digitalization to improve network efficiency. Digital Twin is a promising technology to empower the digital transformation of IIoT by…

Machine Learning · Computer Science 2020-11-19 Yueyue Dai , Ke Zhang , Sabita Maharjan , Yan Zhang

Internet of Things (IoT) devices are available in a multitude of scenarios, and provide constant, contextual data which can be leveraged to automatically reconfigure and optimize smart environments. To realize this vision, Artificial…

Networking and Internet Architecture · Computer Science 2023-01-31 Luca Bedogni , Federico Chiariotti

In the process industry, long-term and efficient optimization of production lines requires real-time monitoring and analysis of operational states to fine-tune production line parameters. However, complexity in operational logic and…

Machine Learning · Computer Science 2024-08-27 Yanlei Yin , Lihua Wang , Dinh Thai Hoang , Wenbo Wang , Dusit Niyato

Digital Twin (DT) technology enables real-time monitoring and optimization of complex network infrastructures by creating accurate virtual replicas of physical systems. In millimeter-wave (mmWave) 5G/6G networks, the deployment of…

Networking and Internet Architecture · Computer Science 2025-09-17 Jie Zhang , Mostafa Rahmani Ghourtani , Swarna Bindu Chetty , Paul Daniel Mitchell , Hamed Ahmadi

Future 6G networks are envisioned to support mobile augmented reality (MAR) applications and provide customized immersive experiences for users via advanced service provision. In this paper, we investigate user-centric service provision for…

Networking and Internet Architecture · Computer Science 2024-09-04 Conghao Zhou , Jie Gao , Yixiang Liu , Shisheng Hu , Nan Cheng , Xuemin Shen

This paper presents a new framework for integrating Digital Twins (DTs) within Internet of battlespace Things (IoBT) coalitions. We introduce a novel three-tier architecture that enables efficient coordination and management of DT models…

Networking and Internet Architecture · Computer Science 2026-04-07 Athanasios Gkelias , Patrick J. Baker , Kin K. Leung , Olwen Worthington , Christopher R. Melville

This study explores implementing a digital twin network (DTN) for efficient 6G wireless network management, aligning with the fault, configuration, accounting, performance, and security (FCAPS) model. The DTN architecture comprises the…

Networking and Internet Architecture · Computer Science 2024-04-25 Elif Ak , Berk Canberk , Vishal Sharma , Octavia A. Dobre , Trung Q. Duong

With the emergence and proliferation of new forms of large-scale services such as smart homes, virtual reality/augmented reality, the increasingly complex networks are raising concerns about significant operational costs. As a result, the…

Machine Learning · Computer Science 2024-05-15 Hyeju Shin , Ibrahim Aliyu , Abubakar Isah , Jinsul Kim

To meet the demands for ubiquitous communication and temporary edge computing in 6G networks, aerial mobile edge computing (MEC) networks have been envisioned as a new paradigm. However, dynamic user requests pose challenges for task…

Networking and Internet Architecture · Computer Science 2024-10-29 Xin Tang , Qian Chen , Rong Yu , Xiaohuan Li

Digital Twin technology creates virtual replicas of physical objects, processes, or systems by replicating their properties, data, and behaviors. This advanced technology offers a range of intelligent functionalities, such as modeling,…

Machine Learning · Computer Science 2024-08-26 Sagar Srinivas Sakhinana , Krishna Sai Sudhir Aripirala , Shivam Gupta , Venkataramana Runkana
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