Digital business transformation in current conditions. Part I by Yu. N. Kafiyatullina, D. A. Kurochkin, D. V. Serdechnyy

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Proteogenomic analysis reveals Arp 2/3 complex as a common molecular mechanism in high risk pancreatic cysts and pancreatic cancer by A. K. M. Firoj Mahmud, Dina Gamaleldin Mansour Aly, Yelin Zhao, Mikael Benson, Martin Smelik, Oleg Sysoev, Hui Wang, Xinxiu Li

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Metaverse, SED Model, and New Theory of Value by Jianguo Wang, Tongsan Wang, Yuna Shi, Diwei Xu, Yutian Chen, Jie Wu

“…The SED model, which can be fully used to form an economic engine and construct a virtual economic system by digital twin method, can be integrated with the extant physical engine in the metaverse concept to build a virtual world consisting of physics, economy, culture, and politics that is close to and coexists with reality.…”
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Explicit relation between thin film chromatography and column chromatography conditions from statistics and machine learning by Hao Xu, Wenchao Wu, Yuntian Chen, Dongxiao Zhang, Fanyang Mo

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Methods and software for anomalies searching in the telemetry data of a solar power plant based on the normalized power analysis by S. V. Vаlevich, K. S. Dzick, I. I. Pilecki, I. Kruse, R. M. Asimov, V. S. Asipovich

“…The purpose of the study is to develop new methods and software algorithms for finding anomalies in the operation of solar panels based on the results of a digital twin created and trained according to the telemetry data of a solar power plant.Methods. …”
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Optimal control of agent-based models via surrogate modeling. by Luis L Fonseca, Lucas Böttcher, Borna Mehrad, Reinhard C Laubenbacher

“…There is a broad range of applications for such an algorithm, since ABMs are used widely in the life sciences, such as ecology, epidemiology, and biomedicine and healthcare, areas where optimal control is an important purpose for modeling, such as for medical digital twin technology.…”
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An Overview of Agent-Based Models for Transport Simulation and Analysis by Jiangyan Huang, Youkai Cui, Lele Zhang, Weiping Tong, Yunyang Shi, Zhiyuan Liu

“…In conclusion, some recommendations are given and suggest potential and insightful directions such as Big Data and Digital Twin for future research.…”
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Digital and circularity in building. KETs for waste management in the European Union by Marina Rigillo, Giuliano Galluccio, Federica Paragliola

“… The article analyses the potential and limitations of using enabling technologies of the digital transition for construction and demolition waste in construction management (BIM, GIS, Virtual and Augmented Reality, Digital Manufacturing, Blockchain, Internet of Things, Digital Twin, Artificial Intelligence) in the context of the European Union. …”
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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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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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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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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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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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