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Pengyu Wei, Chuntong Li, Ze Jiang and Deyu Wang
Digital twins, an innovative technology propelled by data and models, play a seminal role in the digital transformation and intelligent upgrade of ships. This study introduces a digital twin methodology for the real-time monitoring of ship structure defo...
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Herve M. Kabamba, Matthew Khouzam and Michel R. Dagenais
Tracing serves as a key method for evaluating the performance of microservices-based architectures, which are renowned for their scalability, resource efficiency, and high availability. Despite their advantages, these architectures often pose unique debu...
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Benny Wijaya, Mengmeng Yang, Tuopu Wen, Kun Jiang, Yunlong Wang, Zheng Fu, Xuewei Tang, Dennis Octovan Sigomo, Jinyu Miao and Diange Yang
This research paper employed a multi-session framework to present an innovative approach to map monitoring within the domain of high-definition (HD) maps. The proposed methodology uses a machine learning algorithm to derive a confidence level for the det...
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Wensi Li, Yu Zhang, Ruizhi Li, Lijun Zhang, Xingwang Zhang, Hongyin Li, Peng Nie and Shengdong Zhang
Currently, over 100 nuclear power units globally have been in operation for more than 40 years. Hindered by the limitations of computer technology at the time, these nuclear facilities lack detailed electronic drawings. Activities such as equipment repla...
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Eva ?tefanová, Eva Novotná and Miroslav Cábelka
The aim of the article is to prepare a model for making available metadata and digital objects of the new Globe Virtual Collection for the Map Collection of the Faculty of Science of Charles University. The globes are special cartographic documents; ther...
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Patrizia Basso, Barbara Bianchi, Daniele Bursich, Nicola Delbarba, Alessandra Marinello and Fiammetta Soriano
The e-Archeo project, commissioned from ALES S.p.A.by the Ministry of Culture (MIC), aims to valorise the multimedia experience of eight Italian archaeological sites. This paper discusses the University of Verona?s contribution to this project, which foc...
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Leonardo Campos Inocencio, Maurício Roberto Veronez, Luiz Gonzaga da Silveira, Jr., Francisco Manoel Wohnrath Tognoli, Laís Vieira de Souza, Juliano Bonato and Jaqueline Lopes Diniz
This article presents a methodological proposal for the three-dimensional reconstruction of rock samples via structure-from-motion. The presented methodological steps aimed to provide a reproducible workflow to create virtual rock samples to be applied i...
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Yundong Li, Xiaokun Wei and Hanlu Fan
Monocular depth estimation (MDE), as one of the fundamental tasks of computer vision, plays important roles in downstream applications such as virtual reality, 3D reconstruction, and robotic navigation. Convolutional neural networks (CNN)-based methods g...
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Yuanfeng Lian, Yueyao Geng and Tian Tian
Due to the complexity of the oil and gas station system, the operational data, with various temporal dependencies and inter-metric dependencies, has the characteristics of diverse patterns, variable working conditions and imbalance, which brings great ch...
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Tongtong Sang, Jinchao Xiao, Junfeng Xiong, Haoyun Xia and Zhongze Wang
Unmanned surface vehicle (USV) formation is a hot topic of current research. Path planning is the core technology for USV formation. This paper focuses on a USV formation path planning problem considering kinetic constraints. Firstly, an improved A* algo...
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