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Runtime quantification of vehicle operational intensity is essential for predictive maintenance and condition monitoring in commercial and heavy-duty fleets. Traditional metrics like mileage fail to capture mechanical burden, while…

Machine Learning · Computer Science 2026-02-12 Enzo Nicolas Spotorno , Antonio Augusto Medeiros Frohlich

We present a multi-GPU extension of the 3D Gaussian Splatting (3D-GS) pipeline for scientific visualization. Building on previous work that demonstrated high-fidelity isosurface reconstruction using Gaussian primitives, we incorporate a…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-08 Mengjiao Han , Andres Sewell , Joseph Insley , Janet Knowles , Victor A. Mateevitsi , Michael E. Papka , Steve Petruzza , Silvio Rizzi

Transportation Cyber-Physical Systems (T-CPS) enhance safety and mobility by integrating cyber and physical transportation systems. A key component of T-CPS is the Digital Twin (DT), a virtual representation that enables simulation,…

Robotics · Computer Science 2025-02-27 Keshu Wu , Pei Li , Yang Cheng , Steven T. Parker , Bin Ran , David A. Noyce , Xinyue Ye

Splotch is a rendering algorithm for exploration and visual discovery in particle-based datasets coming from astronomical observations or numerical simulations. The strengths of the approach are production of high quality imagery and…

Instrumentation and Methods for Astrophysics · Physics 2016-09-23 Marzia Rivi , Claudio Gheller , Tim Dykes , Mel Krokos , Klaus Dolag

Digital twinning in structural engineering is a rapidly evolving technology that aims to eliminate the gap between physical systems and their digital models through real-time sensing, visualization, and control techniques. Although Digital…

Applications · Statistics 2024-08-28 Zeyu Wang , Ziqi Wang

Interactive exploration of large, multidimensional datasets plays a very important role in various scientific fields. It makes it possible not only to identify important structural features and forms, such as clusters of vertices and their…

Machine Learning · Computer Science 2023-03-10 Bartosz Minch

Industrial process optimization and control is crucial to increase economic and ecologic efficiency. However, data sovereignty, differing goals, or the required expert knowledge for implementation impede holistic implementation. Further,…

Machine Learning · Computer Science 2024-08-28 Johannes Emmert , Ronald Mendez , Houman Mirzaalian Dastjerdi , Christopher Syben , Andreas Maier

Modern datasets and models are notoriously difficult to explore and analyze due to their inherent high dimensionality and massive numbers of samples. Existing visualization methods which employ dimensionality reduction to two or three…

Machine Learning · Computer Science 2018-08-01 David M. Chan , Roshan Rao , Forrest Huang , John F. Canny

Performance analysis of microservices can be a challenging task, as a typical request to these systems involves multiple Remote Procedure Calls (RPC) spanning across independent services and machines. Practitioners primarily rely on…

Software Engineering · Computer Science 2023-02-27 Jessica Leone , Luca Traini

A Digital Twin is a virtual system that can fully describe a physical one. It constantly receives data from its counterpart's sensors, consults external sources, and obtains manual inputs from its stakeholders. The DT uses all this…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-02 Laura Bragante Corssac , Juliano Araujo Wickboldt

Purpose: Digital twins are virtual interactive models of the real world, exhibiting identical behavior and properties. In surgical applications, computational analysis from digital twins can be used, for example, to enhance situational…

This paper explores the development and practical application of a predictive digital twin specifically designed for condition monitoring, using advanced mathematical models and thermal imaging techniques. Our work presents a comprehensive…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Daniel Menges , Florian Stadtmann , Henrik Jordheim , Adil Rasheed

Digital Twins hold great potential to personalize clinical patient care, provided the concept is translated to meet specific requirements emerging from established clinical workflows. We present a general and unspecialized Digital Twin…

With the rapid adoption of Large Language Models (LLMs), LLM-adapters have become increasingly common, providing lightweight specialization of large-scale models. Serving hundreds or thousands of these adapters on a single GPU allows…

LLM-assisted modeling holds the potential to rapidly build executable Digital Twins of complex systems from only coarse descriptions and sensor data. However, resilience to LLM hallucination, human oversight, and real-time model…

Systems and Control · Electrical Eng. & Systems 2026-05-21 Lekshmi P , Neha Karanjkar

We study the problem of visualizing large-scale and high-dimensional data in a low-dimensional (typically 2D or 3D) space. Much success has been reported recently by techniques that first compute a similarity structure of the data points…

Machine Learning · Computer Science 2016-04-06 Jian Tang , Jingzhou Liu , Ming Zhang , Qiaozhu Mei

Datacenters are the backbone of our digital society, but raise numerous operational challenges. We envision digital twins becoming primary instruments in datacenter operations, continuously and autonomously helping with major operational…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-14 Radu Nicolae , Jules van der Toorn , Stavriana Kraniti , Houcen Liu , Alexandru Iosup

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

In the way towards Industry 4.0, the complexity of the industrial systems increases due to the presence of multiple agents, Cyber-Physical Systems, distributed sensing, and big data introducing unknown dynamics that affect the production…

Signal Processing · Electrical Eng. & Systems 2020-07-09 Jairo Viola , YangQuan Chen

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