Analysis of the use of digital technologies at enterprises of the shipbuilding industry of the military-industrial complex by Lipatnikov Vitalii, Smirnova Ol'ga, Lebedkin Pavel

“…The introduction of various digital products made it possible to predict the final performance characteristics of the manufactured product. To do this, its digital twin was created by transferring data on its calculated physical, chemical and dimensional parameters to the digital environment. …”
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CDGFD: Cross-Domain Generalization in Ethnic Fashion Design Using LLMs and GANs: A Symbolic and Geometric Approach by Meizhen Deng, Ling Chen

“…Unlike traditional digital twin models, which require exact replication, our method allows for symbolic and geometric variations while preserving core cultural values. …”
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Performance Evaluation of Machine Learning Models for Predicting Energy Consumption and Occupant Dissatisfaction in Buildings by Haidar Hosamo, Silvia Mazzetto

“…Additionally, integrating these machine learning techniques with digital twin platforms could address real-time optimization challenges, including dynamic occupant behavior and time-dependent energy consumption.…”
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Data-knowledge hybrid driven intelligent prediction method of tunnel excavation profiles geometric deformation by Ya Hu, Jingyi Lu, Jun Zhu, Huixin Zhang, Ying Ren, Jianlin Wu, Jianbo Lai, Heng Zhang, Hongyue Zhao, Xiang Zeng

“…Applying digital twin technology to the tunnel excavation process enables intelligent tunnel construction, which is critical for ensuring construction safety and advancing intelligent building methods. …”
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Jidoka-DT simulator programmed by hybridize XGboost-LSTM to evaluate helmets quality produced by Rice-Straw-alumina plastic dough to resist shocks and impenetrable by Ahmed M. Abed, Ahmed Fathy, Radwa A. El Behairy, Tamer S Gaafar

“…The dough has been tested via a Digital Twin (DT) simulator that relies on human dexterity in mapping the helmet surface as a finite element (FEM) that is called Jidoka-DT. …”
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Software-Defined Value Stream Process Systems by Max Goebels, Alexander Schulte, Patrick Georgi, Fabian Heimberger, Jannik Schwalm, Oliver Liewerenz, Adrian Schäfer, Jürgen Fleischer, Alexander Verl, Hans-Christian Möhring, Volker Schulze, Sven Matthiesen, Nejila Parspour

“…These modules are coordinated via a digital process chain that enables holistic simulations, optimizations, and planning based on a Digital Twin. This system is based on software-defined manufacturing but extends it into autonomous reconfigurable machines. …”
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Synergetic monitoring of pressure and temperature stimulations in multisensory electronic skin based on time decoupling effect by Zhiyi Gao, Ye Zhang, Zhenyu Hu, Dongdong Zhang, Shengbin Li, Huiyun Xiao, Ziyin Xiang, Dan Xu, Haifeng Zhang, Yuanzhao Wu, Yiwei Liu, Jie Shang, Runwei Li

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Proximal Policy Optimization for Crowd Evacuation in Complex Environments—A Metaverse Approach at Krung Thep Aphiwat Central Terminal, Thailand by Sushank Chaudhary, Nitinun Sinpan, Pruk Sasithong, Sunita Khichar, Panithan la-Aiddee, Natt Leelawat, Amir Parnianifard, Suvit Poomrittigul, Lunchakorn Wuttisittikulkij

“…We independently created a detailed digital twin of Krung Thep Aphiwat Central Terminal, Thailand’s largest train station, and implemented all elements of the simulation, including the Social Force Model, to accurately replicate crowd behaviors and interactions during evacuation scenarios. …”
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6G-oriented cross-modal signal reconstruction technology by Ang LI, Jianxin CHEN, Xin WEI, Liang ZHOU

“…Objectives:It is well known that multimodal services containing audio,video and haptics such as mixed reality,digital twin and metaverse are bound to become killer applications in the 6G era,however,the large amount of multimodal data generated by such services is highly likely to burden the signal processing, transmission and storage of existing communication systems. …”
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Construction and Application of Recognition Model for Black-Odorous Water Bodies Based on Artificial Neural Network by Zhonghua Xu, Changguo Dai, Jing Wang, Lejun Liu, Lei Jiang

“…In the water environment, construction, and civil engineering industries, digital twins have gradually become a popular solution in recent years, and in digital twins, accurate data prediction and category recognition are important parts of it. …”
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Hydrologic response and prediction of future water level changes in Qinghai Lake of Tibet Plateau, China by Haibin Wang, Jiahong Liu, Zhuoran Luo, Sana Nazli, Lu Shi

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Artificial intelligence across oncology specialties: current applications and emerging tools by Frank Lin, Tim Rattay, John Kang, Evangelia Katsoulakis, Kyle Lafata, Ellen Kim, Christopher Yao, Harsha Nori, Christoph Ilsuk Lee

“…In this review, we provide multidisciplinary perspectives on oncology applications touched by AI—imaging, pathology, patient triage, radiotherapy, genomics-driven therapy and surgery—and integration with existing tools—natural language processing, digital twins and clinical informatics.…”
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Convergence of evolving artificial intelligence and machine learning techniques in precision oncology by Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal, Abhijit Chakraborty, Apostolia M. Tsimberidou

“…The applications of AI/ML in precision oncology are extensive and include the generation of synthetic data, e.g., digital twins, in order to provide the necessary information to design or expedite the conduct of clinical trials. …”
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Electronics packaging materials and component-level degradation monitoring by Adwait Inamdar, Willem D. Van Driel, GuoQi Zhang

“…Lastly, the hardware requirements are discussed, including specialised sensors, measurement techniques, and Digital Twins, to capture the degradation effects and facilitate component-level health monitoring for microelectronics.…”
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Research Progress and Prospect of Reservoir Intelligent Operation by WANG Sen, WANG Xiayu, JIA Wenhao, NI Xiaokuan, LIU Xia

“…Reservoir operation is an important tool to adapt to climate changes and prevent floods and droughts.With the continuously advancing digitization,a new generation of information technology has begun to integrate with traditional reservoir operations.Based on 445 references collected by CNKI from 2000 to 2023 and 412 references in the core collection database of Web of Science,this paper employs CiteSpace to analyze the status and trend of intelligent operation research.Meanwhile,it systematically sorts out two types of operation technologies including model building and model solving,and six types of information technologies containing knowledge graphs,the internet of things,big data,cloud platform,artificial intelligence,and digital twins.Finally,the intelligent operation provides new ideas for reservoir group operation in river basins,but it still needs further breakthroughs in fields such as thorough perception,data mining,universal model building,and intelligent decision-making.…”
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RESEARCH STATUS AND PROGRESS OF SHAFT PARTS DESIGN AND OPTIMIZATION (MT) by LI Gui, DING LiFen, LUO Ming, LIANG RenJie, ZHANG XiaoDi

“…Suggestions on the design process of shaft parts based on analysis of working conditions, closed-loop design to achieve multi-objective optimization, establishment of an integrated design platform and system for shaft parts, and use of digital twins for advanced design are proposed, and the shaft is summarized and prospected. …”
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Advanced Modeling and 3D Printing Techniques for Game and CGI Characters by Ștefan-Andrei LAZĂR, Patricia Isabela BRĂILEANU

“…The article also discusses the interoperability between certain three–dimensional modeling platforms on the current market and the impact of new technologies such as the so-called digital twins or the metaverse, on the future of three-dimensional graphics and threedimensional modeling of game characters. …”
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Conciliating accuracy and efficiency to empower engineering based on performance: a short journey by Chinesta, Francisco, Cueto, Elias

“…For that purpose physics-informed digital twins (also known as Hybrid Twins) will be employed, allying real-time physics (where complex models are solved by using advanced model order reduction techniques) and physics-informed data-driven models for filling the gap between the reality and the physics-based model predictions. …”
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VARAT: Variable Annotation Tool for Documents on Manufacturing Processes by Shota Kato, Manabu Kano

“…Building physical models is essential for realizing digital twins in the manufacturing industry. This task, however, is labor-intensive and requires a deep understanding of target processes and extensive knowledge from various literature sources. …”
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Construction and Application of Digital Asset Platform for Hydropower Engineering by JIA Yuhao

“…The development of informatization and digitization of hydropower engineering is exposed to problems such as inconsistent data standards,uneven data quality,scattered data storage,weak correlation between data,and difficult data sharing.By referring to the concept of asset management,technologies including BIM,digital twins,and big data are used to construct an asset data model through the collection of engineering-related data assets and with the engineering asset codes as the link.In addition,an engineering digital asset platform is designed and developed to meet the asset management functions such as engineering data asset integration, management queries,download,and sharing,as well as the comprehensive application functions such as the overview of basic engineering information,multi-dimensional full life cycle asset management,and typical scenario application. …”
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