Sports Broadcasting: How Big Data Technology Impacts the Viewer Experience in Baseball Broadcasting by Pi-Yun An

“…Coupled with the sport’s inherently statistical nature, the application of big data was explored in professional baseball broadcasting. …”
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Using GPS data to calculate the ecological impact of road transport on the ecosystem of symbiotic megacities by O. V. Bazarevich, D. V. Kapski

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Single-Scene SAR Image Data Augmentation Based on SBR and GAN for Target Recognition by Shangchen Feng, Xikai Fu, Yanlin Feng, Xiaolei Lv

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Enhancing Efficiency in Transportation Data Storage for Electric Vehicles: The Synergy of Graph and Time-Series Databases by Marko Šidlovský, Filip Ravas

“…By comparing a naive graph-only approach with our hybrid solution, we demonstrate a significant reduction in query response times for large data contexts-up to 64% faster in the XL scenario. …”
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Research on Construction Method of Distribution Network Data Pool Integrating Block Chain Concept by Qian ZHAO, Xiao ZHANG, Hong WANG, Rui MA, Tianhua WANG, Yuan ZHANG, Yanmin WANG

“…Due to the lack of a unified data management platform, the data application and management work of the development department has many problems, such as heavy workload, high repeatability and poor consistency. …”
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Thermal performance and optimum concentration of different nanofluids in immersion cooling in data center servers by Fahad S. Alkasmoul, Ahmed M. Almogbel, Muhammad W. Shahzad, Amer J. Al-damook

“…The application of nanofluids in heat transfer systems is widely recognized for enhancing thermal efficiency compared to conventional fluids, representing a pivotal advancement in energy-saving strategies across a range of commercial applications. …”
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Image reconstruction of Arctic sea ice using SWIM data at small incidence angles by Wenlong Bi, Hui Yu, Xi Zhang, Ran Yan, Ying Xu, Maohua Guo, Ning Wang, Yinghui Li, Yifan Zhang, Yanting Lu, Xinyi Bi, Meijie Liu

“…Finally, based on the 6°–10° SWIM data in the Severnaya Zemlya and northeastern Kara Sea, the image reconstruction is carried out using the SIR method. …”
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Research on Model Construction of Electric Energy Metering System Based on Intelligent Sensor Data by Hang Li, Luwei Bai, Jia Yu, Yongmei Mao, Zhenzhen Hui

“…These discrete power data are scattered in various application systems, and it is not easy to directly provide advanced enterprise applications. …”
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A Study on the European Union's Secondary Use System of Health Data and Its Insights by Yao PAN

“…These measures are intended to unlock the intrinsic value of health data and promote its efficient application.…”
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27 Automated IRB compliance and secure data delivery in i2b2 by Hakob Abajian, Venkat Vuppula, Johnson Kwong, Praveen Angyan, Shakeel Usmani, Saurav Limbu, Brittney Arvizu, Hira Sherazi, Swaroop Samek, Maryam Abdallah, Amy Chuang, Daniella Garofalo, Neil Bahroos

“…Methods/Study Population: This project enhances the i2b2 application to automate compliance processes and facilitate secure data delivery through integration with REDCap. …”
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Risk of AI Algorithmic Discrimination Embedded in Government Data Governance and Its Prevention and Control by PENG Lihui, ZHANG Qiong, LI Tianyi

“…[Purpose/Significance] The purpose of this study is to provide an in-depth analysis of the widespread application of artificial intelligence (AI) technology in the field of government data governance and its far-reaching implications, with a particular focus on the core issue of algorithmic discrimination. …”
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The Development Strategy of the Multimedia Fusion Mode of Big Data Technology in Japanese Translation Teaching by Wanwan Qian

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Artificial Intelligence and Data Literacy in Rural Schools’ Teaching Practices: Knowledge, Use, and Challenges by Marta López Costa

“…Data were collected from a representative sample of teachers at these schools to examine their understanding of AI and data literacy, how they utilize these technologies, and their perspectives on their applications. …”
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Dynamic clustering and compressive data gathering algorithm for energy-efficient wireless sensor networks by Ce Zhang, Xia Zhang, Ou Li, Yanping Yang, Guangyi Liu

“…Existing clustering algorithms of data gathering in wireless sensor networks neglect the impact of event source on the data spatial correlation. …”
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Different rs-fMRI Data Processing Methods in the Study of Vascular Cognitive Impairment by Ying GUAN, Luwen ZHU, Feng WANG, Danna CAO, Xiaoling LI, Qiang TANG

“…This article have reviewed the research on the state of rs-fMRI in the field of VCI in recent years, and summarized the commonly used rs-fMRI data processing methods and features. The application of different functional data processing methods of magnetic resonance in VCI aims to provide imaging evidence for the clinical diagnosis and treatment of VCI.…”
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Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach by Shuai Liu, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, Chensen Lin

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Improvement of the Classification Method for the Fire Hazard Level in Forests Using Meteorological and Aerospace Data by A. K. Labokha, A. Yu. Shamyna, A. D. Ardyako

“…The article proposes improvements to the method for determining the fire hazard level in forests based on predictive meteorological and aerospace data. A brief analysis of various methods for the fire hazard level determining in forests and the sets of initial parameters used in this case was carried out in order to determine the final method's optimal characteristics and properties for further application. …”
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Research on Few Shot Anomaly Detection Technique for Wind Turbines Based on Audio Data by LIU Yue, LUO Xiao, CHU Wei

“…This application contributes to improving the intelligent technical level of wind farms.…”
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The use of crowdsourced mobile data in estimating pedestrian and bicycle traffic: A systematic review by Tao Tao, Greg Lindsey, Raphael Stern, Michael Levin

“…We find that one source of commercial fitness application data (i.e., Strava) has been used much more frequently than other crowdsourced mobile data, and that most studies have used crowdsourced mobile data to estimate bicyclist volumes. …”
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基于多组学数据的药物靶点孟德尔随机化及其在心脑血管疾病防治研究中的应用Drug-Target Mendelian Randomization Based on Multi-omics Data and Its Application in the Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases by 樊哲,姜明慧,程丝,刘斯洋(FAN Zhe, JIANG Minghui, CHENG Si, LIU Siyang)

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