Analysis of Linkage Effects among Currency Networks Using REER Data by Haishu Qiao, Ying Li, Yue Xia

“…In particular, and as the source of empirical data, we chose the monthly REER data for a set of 61 major currencies during the period from 1994 to 2014. …”
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Kartagener syndrome, current data on a classical disease. Case report. by Sandra Viviana Gómez-Correa, Iván David Ruiz-Ángel, Luis Carlos Salazar-Díaz

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Analysis and Evaluation of Competence of Information Sources in Problems of Intellectual Data Processing by Krisilov V. A., Komleva N. O.

“…The issues of work related to solving problems of intellectual data processing is to increase the efficiency of qualimetry, classification, diagnostics, choice, decision making, forecasting, tax-onomy, etc., using data mining algorithms and a statistical approach. …”
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Bridge facility health detection method based on DATA random subspace by Xiaoyan Shen

“…Compared with other algorithms, the research algorithm has higher bridge data detection accuracy, with an average data detection accuracy of 95.84 % and an accuracy growth rate of 26.9 %. …”
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On Statistical Development of Neutrosophic Gamma Distribution with Applications to Complex Data Analysis by Zahid Khan, Afrah Al-Bossly, Mohammed M. A. Almazah, Fuad S. Alduais

“…In the absence of a correct distribution theory for complex data, neutrosophic algebra can be very useful in quantifying uncertainty. …”
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A High Efficient and Real Time Data Aggregation Scheme for WSNs by Tao Du, Zhe Qu, Qingbei Guo, Shouning Qu

“…In filtering procedure, a special data structure named dynamic list will be established in every filtering node; it is designed to store messages transmitted by filtering node, and, comparing current message with list's items, the message's redundancy can be judged without any delay. …”
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Numerical Analysis on Cooling Effect of Built-in Evaporator on Data Center Cabinet by Sun Xiaoqing, Han Zongwei, Fu Qi, Ji Qiang, Xue Da

“…A data center cabinet with a built-in evaporator has been proposed to reduce the energy consumption of cooling systems and improve the cooling effect. …”
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Analysis of the data of hydrogeochemical monitoring of groundwater in the North Sivash artesian basin by K. Ya. Bulakhova, S. M. Sudarikov

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Construction, visualisation, and clustering of transcription networks from microarray expression data. by Tom C Freeman, Leon Goldovsky, Markus Brosch, Stijn van Dongen, Pierre Mazière, Russell J Grocock, Shiri Freilich, Janet Thornton, Anton J Enright

“…Network analysis transcends conventional pairwise approaches to data analysis as the context of components in a network graph can be taken into account. …”
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Design and Application of an Automatic Data Analysis Module for Urban Rail Vehicles by DEND Jian

“…It has the characteristics of reusable core code of data analysis engine, clear structure of signal point table and simple development of analysis function, etc. …”
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Design of a multi‐mode digital pixel with conversion data protection by Yan‐Hua Ma, Xiang‐He Kong, Yu‐Chun Chang

“…By using the multi‐purpose capacitors and static random access memory structure, it can realise multi‐mode conversion in an equivalent area to that of the single mode digital pixel without performance degradation. …”
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A labeled synthetic mobile money transaction datasetMendeley Data by Denish Azamuke, Marriette Katarahweire, Engineer Bainomugisha

“…This data article introduces a labeled synthetic mobile money transaction dataset created using MoMTSim, a multi-agent-based simulation platform designed and validated specifically for mobile money transactions. …”
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Research on the Coupled Representation of Model and Data Integration Guided by Metadata Sets by Y. Li, L. Huo, W. Zhu, P. Bao, M. Zhang, B. Li

“…The results show that this method integrates the expression of digital pipeline element models and data, solves the problems of silos, redundancy and conflicts of heterogeneous models and data from multiple sources, ensures the integrity of the attributes of the models and data elements, and promotes the structured expression and application of the models and data.…”
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Development and Estimation of Weighted Xgamma Exponential Distribution with Applications to Lifetime Data by Abhimanyu Singh Yadav, Shivanshi Shukla, Neha Jaiswal, Sanjay Kumar Singh, Debayan Koley

“…These properties provide deeper insights into the behavior and structure of the proposed distribution. To estimate the model parameters, we discuss the maximum likelihood estimation approach, focusing on complete sample data. …”
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The Impact of IoT Usage on Big Data Analytics and Supply Chain Integration by Çiğdem Şemsettin, Yildiz Bülent, Meidute-Kavaliauskiene Ieva, Cincikaite Renata

“…As industrial organizations use more technology, systems’ data production capacities improve. Thus, big data analytics (BDA) is becoming more critical. …”
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Data-Driven Pavement Performance: Machine Learning-Based Predictive Models by Mohammad Fahad, Nurullah Bektas

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Understanding Research Data Practices of Civil and Environmental Engineering Graduate Students by Xiaoju Chen, Emily Dommermuth, Jessica G. Benner, Rebecca Kuglitsch, Abbey B. Lewis, Matthew R. Marsteller, Katherine Mika, Sarah Young

“…This study uses semi-structured interviews and qualitative content analysis to explore how CEE graduate students work with data and practice data management in their research, as well as what resources and support would meet their needs. …”
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Data-driven and physics-constrained acoustic holography based on optimizer unrolling by Pagavino Manuel, Zotter Franz

“…NAH obtains images of structural vibrations to analyze the underlying acoustic phenomena. …”
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A Review on Deep Sequential Models for Forecasting Time Series Data by Dozdar Mahdi Ahmed, Masoud Muhammed Hassan, Ramadhan J. Mstafa

“…Three deep sequential models, namely, artificial neural network (ANN), long short-term memory (LSTM), and temporal-conventional neural network (TCNN) along with their applications for forecasting time series data, are elaborated. We showed a comprehensive comparison between such models in terms of application fields, model structure and activation functions, optimizers, and implementation, with a goal of learning more about the optimal model used. …”
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Unsupervised learning of nanoindentation data to infer microstructural details of complex materials by Chen Zhang, Clémence Bos, Stefan Sandfeld, Stefan Sandfeld, Ruth Schwaiger, Ruth Schwaiger

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