Damage Detection of Bridges Using Vibration Data by Adjoint Variable Method by Akbar Mirzaee, Mohsenali Shayanfar, Reza Abbasnia

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Fatigue properties of titanium alloys disclosed in NIMS fatigue data sheets by Yoshiyuki Furuya, Hideaki Nishikawa, Hisashi Hirukawa, Nobuo Nagashima, Etsuo Takeuchi

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Blockchain Approaches Survey for Big Data: Systematic Study, Challenges and Innovations by Sila Yavuz, Enes Korkmaz

“…Blockchain as an environment of decentralized technology, with its unique features such as irreversible structure and high data security, has attracted the attention of many researchers. …”
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A collaborative auditing scheme with dynamic data updates based on blockchain by Jie Xiao, Hui Huang, Chenhuang Wu, Qunshan Chen, Zhenjie Huang

“…The EigenTrust model evaluates the reputation of each user's audit behaviour, effectively avoiding the probability of malicious users participating. For data update, we introduce the Pseudo Index Linked List(PIL) index management structure, which reduces the size of the index management structure to adapt to the blockchain's characteristics and makes the update operation have a constant time complexity. …”
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Data measurement system for non-destructive quality testing of hard alloys by I. K. Tsybrii, I. L. Vyalikov, V. I. Ignatenko

“…Traditional methods of monitoring the structure and phase composition according to the results of selective destructive tests prevent from receiving quality data under the production conditions and do not guarantee the identity of the properties of all batch products under study. …”
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Data‐driven Buck converter model identification method with missing outputs by Jie Hou, Xinhua Zhang, Huiming Wang, Shiwei Wang

“…Based on the recovered data, the subspace identification method provides accurate estimates of the structure and parameter of the Buck converter synchronously. …”
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Identification of the governing equation of stimulus-response data for run-and-tumble dynamics. by Shicong Lei, Yu'an Li, Zheng Ma, Hepeng Zhang, Min Tang

“…Moreover, the model can be used to deduce the underlying structure of hidden intracellular biochemical dynamics. …”
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Revisiting the history of the Ostrusha Tomb: new data from pottery deposits by Chavdar Tzochev

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Optimum Resolution Bandwidth for Spectral Analysis of Stationary Random Vibration Data by Allan G. Piersol

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Revisiting the history of the Ostrusha Tomb: new data from pottery deposits by Chavdar Tzochev

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Exploring deep generative models for improved data generation in hypertrophic cardiomyopathy by Swarajya Madhuri Rayavarapu, Gottapu Sasibhushana Rao

“… Data generation strategies are essential for addressing the challenge of limited training data in deep learning-based medical image analysis, particularly for hypertrophic cardiomyopathy (HCM) using magnetic resonance imaging (MRI). …”
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Dual Partial Reversible Data Hiding Using Enhanced Hamming Code by Cheonshik Kim, Ching-Nung Yang, Lu Leng

“…Traditional reversible data hiding (RDH) methods prioritize the exact recovery of the original cover image; however, this rigidity often hinders both capacity and design flexibility. …”
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A Data-Driven Assessment of Redesign Initiatives in Financial Management Processes by George Tsakalidis, Kostas Vergidis

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Effect of crystal-to-detector distance shift on data processing in serial crystallography. by Ki Hyun Nam

“…For HEWL processed via MOSFLM, structure refinement statistics maintained acceptable Rfree values despite a ± 10 mm deviation; however, data quality deteriorated with increasing deviation from the actual CTDD. …”
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Database Systems in the Big Data Era: Architectures, Performance, and Open Challenges by Elias Dritsas, Maria Trigka

“…The classification of databases based on data models, deployment strategies, scalability mechanisms, and consistency models is explored in depth, providing a structured framework for understanding their diverse capabilities. …”
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Construction of application platform for operational data of natural gas pipeline network by Hongtao DIAO, Weichao YU, Kaihong WANG, Huai SU, Yi ZHANG, Zhaoming YANG

“…Methods The underlying data structure of this platform was constructed using a relational database, fully leveraging the automated data acquisition process and remote control technology of key equipment. …”
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Short-term prediction of trimaran load based on data driven technology by Haoyun Tang, Rui Zhu, Qian Wan, Deyuan Ren

“…According to the machine learning theory, a short-term prediction method towards trimaran loads is studied by using an optimized data-driven model. In the research, the monitoring data from a trimaran model test is applied for the training and testing of long short-term memory (LSTM) neural network. …”
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Conceptualization and scale development for big data-based learning organization capability by Nesrin Alkan, Deniz Ersan Yilmaz, Bilal Baris Alkan

“…In the second phase, Confirmatory Factor Analysis (CFA) was applied to an independent sample (n = 128) to validate the scale's structure and its alignment with the theoretical model.ResultsThe EFA results revealed a clear three-factor structure, and the CFA confirmed the model's fit to the data, demonstrating good psychometric properties. …”
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On the Firmness Code Noising to the Statistical Analysis of the Observable Data of Repeated Repetition by V. M. Deundyak, J. V. Kosolapov

“…We investigate the firmness of code noising to the statistical analysis of the evesdropped messages of repeated repetition. We give a structural description of the model of secured data transmission and construct an information analytical model of the observer. …”
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Data Acquisition System for AC-drive Test Based on LabVIEW by 蒋骊湘, 陈高华, 刘护林

“…This paper introduced the hardware structure and the software design of data acquisition system for AC-drive test based on LabVIEW and proposed a method to realize high-speed continuous data storage and data preprocess in LabVIEW. …”
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