The Approach to Applications Integration for World Data Center Interdisciplinary Scientific Investigations by Grzegorz Nowakowski, Sergii Telenyk, Kostiantyn Yefremov, Volodymyr Khmeliuk

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Data Science Application for Creation of Maternal Morbidity and Mortality Predictive Software by Rúsbel Domínguez-Domínguez, Germán H. Alférez, Verenice González-Mejia, Norbet Donías

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Data Dissemination Techniques for Internet of Things Applications: Research Challenges and Opportunities by Lenando Halikul bin, Albert Sanjay Charles, Alrfaay Mohamad

“…Additionally, it explores emerging opportunities and innovations that can shape the future of IoT applications. Furthermore, the discussion addresses challenges in data dissemination and explores innovative solutions, including machine learning, AI-based strategies, edge, and fog computing, blockchain integration, and advanced 5G/6G networks. …”
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Application of Deep Learning to the Prediction of Solar Irradiance through Missing Data by R. Girimurugan, P. Selvaraju, Prabahar Jeevanandam, M. Vadivukarassi, S. Subhashini, N. Selvam, S. K. Hasane Ahammad, S. Mayakannan, Selvakumar Kuppusamy Vaithilingam

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Fingerprinting conflict: A comparative model with applications to archaeological and historical data. by Søren Wichmann, Anna K Loy, Anna-Theres Andersen, Ralf Bleile, Darja Jonjić, Jutta Kneisel, Norbert Nübler, Andrea Santamaria, Jens Schneeweiß, Gerald Schwedler, Katharina Zerzeropulos, Lorenz Kienle, Oliver Nakoinz

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Research Progress and Application of UAV Multi-Sensor Data Fusion Technology by Jia Yifei, Ji Yuhan

“…This paper reviews the research progress of UAV multi - sensor data fusion technology. With the complexity of application scenarios, single - sensor UAVs can’t meet the requirements. …”
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Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review by Yasmin Abdelaal, Michaël Aupetit, Abdelkader Baggag, Dena Al-Thani

“…ResultsOur findings revealed that wrist-worn wearables such as Fitbit and Empatica E4 are prevalent in health care applications. However, more emphasis must be placed on making the data generated by these devices explainable. …”
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Real-time processing technology,platform and application of streaming big data by Chun CHEN

“…According to its timeliness,big data processing systems can be categorized into two groups,namely batching big data processing and streaming big data processing.Both systems mentioned above are unable to meet the real-time requirement for censoring and query analysis tasks.To this end,the “stream cube” real-time data analysis technology and platform were presented,which can perform timely query with low lag.Currently,this technology has been applied to many fields,including financial risk management,anti-fraud as well as web bots defense,and offers promising prospects for further applications.…”
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Application of Big Data Technology in the Operation and Maintenance for High Speed EMUs by LIANG Jianying, LIU Shaoqing, FAN Longqing, YU Jin

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Sinh-Cosh Optimization-Based Efficient Clustering for Big Data Applications by Lahbib Khrissi, Mohammed Es-Sabry, Nabil El Akkad, Hassan Satori, Saad Aldosary, Walid El-Shafai

“…Data clustering is a pivotal aspect of data mining, attracting significant attention in the exploration of cluster analysis through optimization algorithms. …”
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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

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Discrete Extension of Poisson Distribution for Overdispersed Count Data: Theory and Applications by Mohamed S. Eliwa, Muhammad Ahsan-ul-Haq, Amani Almohaimeed, Afrah Al-Bossly, Mahmoud El-Morshedy

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Modified generalized Chen distribution, estimation and application using econometrics data by Owens Ogheneochuko Akpojaro, Charles Okechukwu Aronu

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Entity-Driven New Paradigm of Mine Data: Model Construction and Application by Wenjing Li, Qian Ma, Yanbin Tang, Zhiyong Lin

“…Based on multi-source heterogeneous mine data, we constructed a mining entity data layer. …”
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Differential privacy protection technology and its application in big data environment by Yu FU, Yihan YU, Xiaoping WU

“…The privacy protection in big data is a research hotspot in the field of cyberspace security.As a strict and provable definition of privacy protection,studying application status of differential privacy protection in big data environment can provide reference and guidance for its subsequent system applications.Based on the analysis of the related concepts and technical characteristics of differential privacy protection,the application of differential privacy protection technology was reviewed in data distribution and analysis,cloud computing and big data computing,location and trajectory services and social networks,which expounded the current representative research results and analyzed its existing problems.The research shows that the existing results have made effective innovation and exploration of differential privacy protection applications from the aspects of differential privacy protection mechanism,noise addition mechanism and location,and data processing methods,and the related results have been cross-applied in different scenarios.Finally,four major problems that need to be studied in the further systematic application of differential privacy protection in the big data environment are proposed.…”
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Citation Data and Informetrics Laws: An Application in Doctoral Theses to the Turkish Librarianship by Özlem Gökkurt Bayram

“…Seventeen doctoral theses of librarianship have been selected to study the application of informetrics laws. Aricles cited in the bibliographies of theses and the journals in which they appeared were entred into a database and synchronic citation analysis has been performed on the data. …”
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Application of Improved MDSMOTE and FC-SVM in Imbalanced Data Set Classification by WEN Xue-yan, ZHAO Li-ying, XU Ke-sheng, LU Guang

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Simplex-structured matrix factorisation: application of soft clustering to metabolomic data by Wenxuan Liu, Thomas Brendan Murphy, Lorraine Brennan

“…In the simulation study, the cluster prototypes and cluster memberships were well estimated. In the real data application to metabolomic data, the presence of four soft clusters was suggested by the gap statistic. …”
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Big data mining and application of long-distance oil and gas pipeline by Tao YU, Lijun LIU, Hongjun CHEN, Yao YU

“…In response to the need of the intelligent construction of the long-distance oil and gas pipeline in the future,combining with the supervisory control and data acquisition (SCADA) system and operating parameters of the oil and gas pipeline,comparing with the characteristics of traditional theoretical methods and big data mining methods,the direction of big data to promote intelligent pipeline and three steps of digital informatization,theorization,and intelligence of the pipeline intelligence research were proposed.The pipeline intelligent architecture was established,which included a physical layer,a data layer,a data mining layer,an application layer,and a user layer.The data mining layer was the core of the architecture.The statistical analysis,time series prediction and working condition identification and other application cases showed that the use of the big data mining could effectively solve the actual production business needs and guide the future pipeline intelligent research and construction.…”
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Comparing Outlier Detection Methods: An Application on Indonesian Air Quality Data by Anwar Fitrianto, Amalia Kholifatunnisa, Anang Kurnia

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