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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On the fidelity versus privacy and utility trade-off of synthetic patient data by Tim Adams, Colin Birkenbihl, Karen Otte, Hwei Geok Ng, Jonas Adrian Rieling, Anatol-Fiete Näher, Ulrich Sax, Fabian Prasser, Holger Fröhlich

“…Synthetic data without differential privacy (DP) maintained fidelity and utility without evident privacy breaches, whereas DP-enforced models significantly disrupted correlation structures. …”
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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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Comprehensive dataset for performance evaluation of SCM-blended concreteMendeley Data by Weilin Liu, Huadong Mo, Chi King Lee

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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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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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Imputasi Data Temperatur Maksimum Menggunakan Metode Support Vector Regression by Isa Kholifatus Sukhna, Brina Miftahurrohmah, Catur Wulandari, Putri Amelia

“…The choice of the SVR method is based on its ability to handle data with complex structures. Modeling is conducted separately for each station using the Radial Basis Function (RBF) kernel. …”
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Digital youth inclusion and the big data divide: examining the Scottish perspective by Alicja Pawluczuk

“…In the era of the ‘big data divide’, digital inclusion programmes should aim to enable young people’s critical digital abilities to continually review and respond to their positions within the power structures of the data society. …”
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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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Comparison of alternative approaches for analysing multi-level RNA-seq data. by Irina Mohorianu, Amanda Bretman, Damian T Smith, Emily K Fowler, Tamas Dalmay, Tracey Chapman

“…The proposed approaches have the potential to improve key steps in the analysis of RNA-seq data by incorporating the structure and characteristics of biological experiments.…”
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Application of Digital Educational History Data to Predict the Risk of Student Failure by Tatyana Kustitskaya, Roman Esin, Alexey Kytmanov, Tatyana Zykova

“…The paper considers several variants of tasks of predicting learning success based on education data. An approach to solving these problems using digital educational history of students - multidimensional structured dynamically changing data on their educational activities and current learning outcomes - is proposed. …”
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Approach to implant monitoring and data processing with digital implant lifecycle management by Berend Denkena, Marcel Wichmann, Max-Enno Eggers, Crystal Kayaro Emonde, Christof Hurschler

“…Implemented using an XML-data structure in simulation software, the concept focuses on manufacturing and monitoring, using total knee arthroplasty as an example. …”
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