The Ontological Multiplicity of Digital Heritage Models: A Case Study of Yunyan Temple, Sichuan Province, China by Jie Tan, Xin Guo, Haijing Huang

“…This paper investigates the ontological multiplicity of digital heritage objects within the context of a digital twin project focused on Yunyan Temple, Sichuan Province, China—a site threatened by natural disasters. …”
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Weaving Archives. Riusare, reinventare e riprogettare i dati tessili by Margherita Tufarelli, Paolo Franzo

“…The project envisaged three main phases of implementation: (1) the elaboration of a digitisation procedure which, through the creation of a digital twin, would make it possible to reconstruct the fundamental characteristics of the selected textile materials, so as to convey their qualities on a digital support; (2) the use of the models obtained for the design of transmedia content; (3) the adaptation of this content to the development of audiovisual products, such as short films, films and animation, aimed at textile education. …”
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Research on Windage Power Loss of High-speed Arc Tooth Cylindrical Gear by Shuai Mo, Heyu Dang, Zhenxing Zou, Wenjie Tang, Zongxiang Yue, Hanjun Gao

“…Computational fluid dynamics（CFD） technology is used to establish the air flow field model around the arc tooth cylindrical gear. The digital twin simulation calculation is performed to obtain the velocity vector diagram and windage loss power of the air flow around the arc tooth cylindrical gear. …”
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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…Finally, the integration of digital twin technology will support more intelligent path planning and decision-making processes, especially in unmanned farms and livestock management systems. …”
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Simulation Testing of Maritime Cyber-Physical Systems: Application of Model-View-ViewModel by Dong-Chul Lee, Kyung-Min Seo, Hee-Mun Park, Byeong Soo Kim

“…We expect that the proposed work will play a principal role when analyzing the behaviors and communications of defense CPSs and providing an environment for functional testing as a digital twin.…”
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Exploring In-Network Computing with Information-Centric Networking: Review and Research Opportunities by Marica Amadeo, Giuseppe Ruggeri

“…The advent of 6G networks and beyond calls for innovative paradigms to address the stringent demands of emerging applications, such as extended reality and autonomous vehicles, as well as technological frameworks like digital twin networks. Traditional cloud computing and edge computing architectures fall short in providing their required flexibility, scalability, and ultra-low latency. …”
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A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing by Frederico de Oliveira Santos, Ivanete Schneider Hahn

“…The main findings show that machinery was the industry subsector with the major implementations regarding machine learning; process improvement is the main concern (interest) of all implementations; random forest was the most specific machine learning technique used; and diverse technologies associated with this context were identified such as: the industrial internet of things, digital twin, sensor technologies (soft, optical, barometric, ultrasonic), software technologies (Python, MATLAB, LabView, Google AutoML Platform) and equipment technologies (robotic, PLC, CNC). …”
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Multi-Objective Optimization of Building Ventilation Systems Using Model Predictive Control: Integrating Air Quality, Energy Cost, and Environmental Impact by Andreas Hyrup Andersen, Muhyiddine Jradi

“…This paper presents a flexible heating, ventilation and air conditioning (HVAC) modeling framework developed for building digital twin implementation. The framework is showcased for the modeling and simulation of four ventilation systems in a 8500 m² university building. …”
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New millennium construction sites: an integrated methodology for the sustainability assessment by Elisa Pennacchia, Luca Gugliermetti, Umberto Di Matteo, Fabrizio Cumo

“…Digital technologies such as BIM and Digital Twin can take advantage of such model to integrate and develop sustainability analysis and simulation during the entire life cycle of a building. …”
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Neural networks utilization in the video game industry by V. V. Godin, A. E. Terekhova, D. N. Bulatov, I. А. Zaremba

“…The future concept of using neural networks as a digital twin of a video game developer has been considered. …”
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Assessing the performance of zero-shot visual question answering in multimodal large language models for 12-lead ECG image interpretation by Tomohisa Seki, Yoshimasa Kawazoe, Yoshimasa Kawazoe, Hiromasa Ito, Yu Akagi, Toru Takiguchi, Kazuhiko Ohe, Kazuhiko Ohe

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A Biologically Inspired and Protein-Based Bio-Cyber Interface for the Internet of Bio-Nano Things by Pit Hofmann, Juan A. Cabrera, Gunnar Schulte, Frank H.P. Fitzek

“…The Internet of Things (IoT) has changed the way how we interact with our physical environment, enabling connectivity and communication between physical and virtual entities, e.g., for digital twin applications. However, as we step beyond the IoT, developing the Internet of Bio-Nano Things (IoBNT), where biological and nanoscale entities will be included in our communication networks, includes challenges as well as opportunities. …”
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Coupled 4D Flow-Geomechanics Simulation to Characterize Dynamic Fracture Propagation in Tight Sandstone Reservoirs by Zhiyang Pi, Gang Hui, Youjing Wang, Zhangxin Chen, Jing Li, Guosheng Qin, Fanle Meng, Yanchen Song, Fuyu Yao, Penghu Bao, Ye Li, Chenqi Ge, Yujie Zhang, Xing Yang, Yujie Zhang

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Cyber Physical Security of Distributed Energy Resources by Luka Strezoski, Zorana Babic, Dejan Milojicic

“…Finally, we present our idea of Digital Twin technology as a tool for assisting distribution system operators and grid engineers, to detect, attenuate, and prevent malicious cyber-attacks in DERs.…”
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Efficient State Estimation Through Rapid Topological Analysis Based on Spatiotemporal Graph Methodology by Zhen Dai, Shouyu Liang, Yachen Tang, Jun Tan, Guangyi Liu, Qinyu Feng, Xuanang Li

“…The presented method provides both theoretical and practical support for the digital transformation of the power system and the advancement of the digital twin power grid.…”
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Digitalized Optical Sensor Network for Intelligent Facility Monitoring by Esther Renner, Lisa-Sophie Haerteis, Joachim Kaiser, Michael Villnow, Markus Richter, Torsten Thiel, Andreas Pohlkötter, Bernhard Schmauss

“…The realized network services promote sensor data quality, fusion, and modeling, expanding opportunities using digital twin technology.…”
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A Deep Learning-Based Approach to Enable Action Recognition for Construction Equipment by Jinyue Zhang, Lijun Zi, Yuexian Hou, Mingen Wang, Wenting Jiang, Da Deng

“…In order to support smart construction, digital twin has been a well-recognized concept for virtually representing the physical facility. …”
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Research on a Novel Unsupervised-Learning-Based Pipeline Leak Detection Method Based on Temporal Kolmogorov–Arnold Network with Autoencoder Integration by Hengyu Wu, Zhu Jiang, Xiang Zhang, Jian Cheng

“…Overall, this study presents a transparent and robust solution for automated pipeline leak detection, facilitating the large-scale, cost-effective development of digital twin systems for urban pipeline leak emergency management.…”
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Environmentally friendly construction technologies selection criteria in the Arctic by A. A. Kuzmenkov, A. V. Kaychenov

“…The purpose of the study is to substantiate a set of criteria for “green” for the northern and Arctic regions of the Russian Federation on the basis of logically interrelated models: a design model, a full-scale model, mathematical models and a digital twin model. The main criteria include energy efficiency and environmental safety of buildings.Materials and methods. …”
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Study on Few-Shot Fault Diagnosis Method for Marine Fuel Systems Based on DT-SViT-KNN by Shankai Li, Liang Qi, Jiayu Shi, Han Xiao, Bin Da, Runkang Tang, Danfeng Zuo

“…To address the challenge of current data-driven fault-diagnosis-based methods, which have difficulty in feature extraction and low accuracy under small samples, this paper proposes a fault diagnosis method based on digital twin (DT), Siamese Vision Transformer (SViT), and K-Nearest Neighbor (KNN). …”
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