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Related papers: A Multi-Simulation Bridge for IoT Digital Twins

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In this paper, we propose a novel federated framework for constructing the digital twin (DT) model, referring to a living and self-evolving visualization model empowered by artificial intelligence, enabled by distributed sensing under…

Emerging Technologies · Computer Science 2025-12-03 Ruoyang Chen , Changyan Yi , Fuhui Zhou , Jiawen Kang , Yuan Wu , Dusit Niyato

Digital twinning enables real-time simulation and predictive modeling by maintaining a continuously updated virtual representation of a physical system. In mission-critical applications, such as mid-air collision avoidance, these models…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-23 Bin Xu , Ayan Banerjee , Sandeep K. S. Gupta

We introduce real-is-sim, a new approach to integrating simulation into behavior cloning pipelines. In contrast to real-only methods, which lack the ability to safely test policies before deployment, and sim-to-real methods, which require…

Digital twins (DTs) have driven major advancements across various industrial domains over the past two decades. With the rapid advancements in autonomous driving and vehicle-to-everything (V2X) technologies, integrating DTs into vehicular…

Systems and Control · Electrical Eng. & Systems 2024-02-21 Kui Wang , Zongdian Li , Kazuma Nonomura , Tao Yu , Kei Sakaguchi , Omar Hashash , Walid Saad

The emerging data-driven methods based on artificial intelligence (AI) have paved the way for intelligent, flexible, and adaptive network management in vehicular applications. To enhance network management towards network automation, this…

Networking and Internet Architecture · Computer Science 2024-03-26 Kaige Qu , Weihua Zhuang

Modern manufacturing demands high flexibility and reconfigurability to adapt to dynamic production needs. Model-based Engineering (MBE) supports rapid production line design, but final reconfiguration requires simulations and validation.…

The increasing complexity of Cyber-Physical Systems (CPS), particularly in the industrial domain, has amplified the challenges associated with the effective integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques.…

Artificial Intelligence · Computer Science 2026-02-05 Marco Picone , Fabio Turazza , Matteo Martinelli , Marco Mamei

The damage and the impact of natural disasters are becoming more destructive with the increase of urbanization. Today's metropolitan cities are not sufficiently prepared for the pre and post-disaster situations. Digital Twin technology can…

Artificial Intelligence · Computer Science 2021-04-01 Özgür Dogan , Oguzhan Sahin , Enis Karaarslan

Digital twins are transforming the way we monitor, analyze, and control physical systems, but designing architectures that balance real-time responsiveness with heavy computational demands remains a challenge. Cloud-based solutions often…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-16 E. Iraola , M. García-Lorenzo , F. Lordan-Gomis , F. Rossi , E. Prieto-Araujo , R. M. Badia

Robotic systems have become integral to smart environments, enabling applications ranging from urban surveillance and automated agriculture to industrial automation. However, their effective operation in dynamic settings - such as smart…

A Digital Twin (DT) framework to enhance carbon-based gas plume monitoring is critical for supporting timely and effective mitigation responses to environmental hazards such as industrial gas leaks, or wildfire outbreaks carrying large…

Subsea exploration, inspection, and intervention operations heavily rely on remotely operated vehicles (ROVs). However, the inherent complexity of the underwater environment presents significant challenges to the operators of these…

Robotics · Computer Science 2024-02-13 Favour O. Adetunji , Niamh Ellis , Maria Koskinopoulou , Ignacio Carlucho , Yvan R. Petillot

Industrial Product-Service Systems (IPSS) are increasingly dominant in several sectors. Predominant value-adding services provided for industrial assets such as production systems, electric power plants, and car fleets are remote asset…

Software Engineering · Computer Science 2022-08-11 Jürgen Dobaj , Andreas Riel , Georg Macher , Markus Egretzberger

Precise and timely simulation of a structure's dynamic behavior is crucial for evaluating its performance and assessing its health status. Traditional numerical methods are often limited by high computational costs and low efficiency, while…

Computational Engineering, Finance, and Science · Computer Science 2025-06-24 Jun Zhang , Tong Zhang , Ying Wang

Digital Twins (DTs) are a conventional and well-known concept, proposed in 70s, that are popular in a broad spectrum of sciences, industry innovations, and consortium alliances. However, in the last few years, the growth of digital assets…

Networking and Internet Architecture · Computer Science 2022-04-26 Saeed Banaeian Far , Azadeh Imani Rad

Digital twins, as precise digital representations of physical systems, have evolved from passive simulation tools into intelligent and autonomous entities through the integration of artificial intelligence technologies. This paper presents…

This paper proposes a novel simulator IoTSim-Edge, which captures the behavior of heterogeneous IoT and edge computing infrastructure and allows users to test their infrastructure and framework in an easy and configurable manner.…

Having the Fifth Generation (5G) mobile communication system recently rolled out in many countries, the wireless community is now setting its eyes on the next era of Sixth Generation (6G). Inheriting from 5G its focus on industrial use…

As we evolve towards more heterogeneous and cutting-edge mobile networks, Network Digital Twins (NDTs) are proving to be a promising paradigm in solving challenges faced by network operators, as they give a possibility of replicating the…

Emerging Technologies · Computer Science 2026-04-20 John Sengendo , Fabrizio Granelli

Industrial Internet of Things (IoT) enables distributed intelligent services varying with the dynamic and realtime industrial devices to achieve Industry 4.0 benefits. In this paper, we consider a new architecture of digital twin empowered…

Machine Learning · Computer Science 2020-11-03 Wen Sun , Shiyu Lei , Lu Wang , Zhiqiang Liu , Yan Zhang
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