Comparision of Kernel Functions in Geographically Weighted Regression Model: Suicide Data as an Application by Tuba Koç, Pelin Akın

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Power Measurement and Data Logger with High-Resolution for Industrial DC-Grid Application by Apse-Apsitis Peteris, Senfelds Armands, Avotins Ansis, Paugurs Arturs, Prieditis Marcis

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Design and Application of Algorithm Intensive Environment for CMA Big Data and Cloud Platform by Huo Qing, He Wenchun, He Lin, Gao Feng, Chen Shiwang, Xu Yongjun

“…It addresses business needs such as efficient and stable processing of data products, data sharing and collaboration among business systems, and efficient and intensive business applications. …”
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The Application of Public Data in Forensic Real Estate Valuations: Problems, Limitations, Opportunities by A. Yu. Butyrin, V. M. Kruglyakova, I. A. Shipilova

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The Extended Exponential Weibull Distribution: Properties, Inference, and Applications to Real-Life Data by Adam Braima S. Mastor, Oscar Ngesa, Joseph Mung’atu, Nada M. Alfaer, Ahmed Z. Afify

“…Eventually, two real-world data sets are utilized to show the applicability of the new distribution.…”
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Research on the application of improved MCMC algorithm in the measurement of high-dimensional financial data by Naijia Liu, Yuchao Su

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A hybrid memory trace collection and analysis toolkit for big data applications by Zuojun LI, Haiyang PAN, Mingyu CHEN, Yungang BAO

“…The rise of in-memory computing framework represented by Spark,the gradual deepening of new non-volatile memory research and the increasingly severe data security situation made the existing memory behavior analysis tools unable to meet the demand for big data applications.A software-hardware hybrid memory trace collection and analysis toolkit for big data applications was proposed.Based on the basic memory trace collected by hardware,the memory behavior information with rich semantic information can be obtained quickly,accurately and undistorted by combining software information synchronization and offline annotation.It also provides an implementation method for real-time security monitoring of large data access.Finally,a group of real big data applications were analyzed by this toolkit.…”
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Application of data mining to extract knowledge about the occurrence of fistulas after palatoplasty by Patrick Pedreira Silva, Elvio Gilberto da Silva, Vinicius Santos Andrade, Telma Vidotto de Sousa Brosco, Gabriela Aparecida Prearo, Maria Inês Pegoraro-Krook, Jeniffer de Cassia Rillo Dutka

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Assessing a Measurement-Oriented Data Management Framework in Energy IoT Applications by Hariom Dhungana, Francesco Bellotti, Matteo Fresta, Pragya Dhungana, Riccardo Berta

“…The Internet of Things (IoT) has enabled the development of various applications for energy, exploiting unprecedented data collection, multi-stage data processing, enhanced awareness, and control of the physical environment. …”
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Performance Comparison of Data Reduction Techniques for Wireless Multimedia Sensor Network Applications by Pinar Sarisaray-Boluk, Kemal Akkaya

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A Bayesian-Weighted Inverse Gaussian Regression Model with Application to Seismological Data by Ehsan Mesdaghi, Afshin Fallah, Rahman Farnoosh, Gholam Hossein Yari

“…A comparative simulation study is worked out to assess and compare the proposed model with other usual competitor models, and it is observed that efficiency is quite satisfactory. A real seismological data set is also analyzed to explain the applicability of the proposed Bayesian model and to access its performance. …”
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EMBEDDING IDENTIFICATION DATA WITHIN IMAGES BASED ON SINUSOIDAL GRATINGS FOR MOBILE APPLICATIONS by A. A. Bоriskevich

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Machine Learning and Data Science in Social Sciences: Methods, Applications, and Future Directions by Elias Dritsas, Maria Trigka

“…Artificial intelligence (AI) is transforming social science research by enabling scalable data analysis, predictive modeling, and causal inference, thereby reshaping the methodological foundations of fields such as political science, economics, and psychology. …”
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Application of Data Mining for Tuberculosis Disease Classification Using K-Nearest Neighbor by Delima Sitanggang, lamria Simangunsong, Geertruida Frederika Sundah, Rani Hutahaean, Indren Indren

“…This study aims to find out how much the application of the K-NN method and the accuracy value obtained by the K-NN method in clarifying data of Tuberculosis patients. …”
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State-of-the-Art Web Platforms for the Management and Sharing of Data: Applications, Uses, and Potentialities by Franco Spettu, Cristiana Achille, Francesco Fassi

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Research on applicability of containment test data for HPR1000 based on phenomena scaling by Liu Yusheng, Qiao Xuedong, Tan Sichao, Jing Jianping, Wang Ting, Zhu Yuanbing

“…The volume of the nuclear power plant containment is huge, making it difficult to conduct equal-scale or large-scale thermal-hydraulic tests. Currently the test data mainly come from small-scale tests. To address the applicability of small-scale containment test data in validation process of the containment performance analysis code, the analysis method for applicability of experimental data is proposed and developed on the basis of similarity analysis of the pressure response process in the containment. …”
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Retracted: Application and Development of Big Data in Sustainable Utilization of Soil and Land Resources by Zhaoya Chen, Wei Huang, Lijun Ma, Hao Xu, Yaheng Chen

“…The experimental data results show that the use of big data in this paper has achieved ideal results in the application of land resource sustainable utilization, and to a certain extent, it fills in the big data and land The case study in the field of sustainable utilization of resources is a good method and has a broad application prospect.…”
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The Application Status and Trends of Data-Intelligence Technology in the Diagnosis of Lysosomal Storage Diseases by DU Xinyu, WANG Shengfeng, XIE Jing, GUO Jian, ZHANG Shuyang

“…ObjectiveTo summarize the applications of data-intelligence technology in diagnosing lysosomal storage disease(LSD), analyze their opportunities and challenges in clinical practice as well as their development trends, and provide insights and recommendations for advancing digitally driven auxiliary diagnostic technologies.MethodsA comprehensive literature search was conducted across databases including PubMed, Web of Science, Embase, CNKI, Wanfang Database, and VIP. …”
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Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups by A. N. Kazinets

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Evaluating the EVENODD Code: Principles, Applications, and Future Prospects in Data Storage Systems by Deng Jinxiang

“…The paper discusses the EVENODD code’s industrial applications, particularly in satellite remote sensing and library databases, where data integrity is paramount. …”
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