A kinetic-based regularization method for data science applications by Abhisek Ganguly, Alessandro Gabbana, Vybhav Rao, Sauro Succi, Santosh Ansumali

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The Exponential T-X Family of Distributions: Properties and an Application to Insurance Data by Zubair Ahmad, Eisa Mahmoudi, Morad Alizadeh, Rasool Roozegar, Ahmed Z. Afify

“…A simulation study based on these actuarial measures is provided. Finally, an application to a heavy-tailed automobile insurance claim data set is presented. …”
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Application of Big Data Technology in LKJ Equipment Analysis System by YANG Xian, YAN Sheng

“…This paper analyzed the future development requirements of LKJ equipment analysis system and the application of big data technology, and proposed a scheme of LKJ equipment analysis system based on big data technology. …”
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Disaggregate models with aggregate data: Two UrbanSim applications by Zachary Patterson, Marko Kryvobokov, Fabrice Marchal, Michel Bierlaire

“…This paper describes two UrbanSim applications for the cities of Brussels, Belgium and Lyon, France that adopted different approaches of using aggregate data. …”
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Applicability Evaluation of TRMM Satellite Precipitation Data in Jiangsu Province by XU Shanshan

“…According to the measured data of 167 rainfall stations in Jiangsu Province from 2000 to 2013,the feasibility of the application of TRMM satellite precipitation data (TRMM 3B42 daily precipitation products and TRMM 3B43 monthly precipitation products) in Jiangsu Province is tested and discussed at multiple scales.On the multi-year average scale,the spatial distribution of TRMM precipitation data and measured precipitation data are decreasing from south to north,but the precipitation value of TRMM is higher than the measured one.On the daily scale,the coincidence degree between TRMM 3B42 precipitation data and measured precipitation data is tested by precipitation frequency,missing and empty retrieval rates,and precipitation classification.The missing and empty retrieval rates of Lianyungang and Suqian are lower,thus,in the two places,TRMM inversion data are more accurate to distinguish whether there is precipitation in the actual situation.The relative error of TRMM 3B42 data for measuring light rain is relatively large,while it is small for medium rain,heavy rain,and rainstorm.On the monthly scale,it can be seen that the consistency between TRMM 3B43 data and ground data is overall high by examining the correlation coefficient and the absolute error.The correlation coefficient is the highest in Xuzhou and the north of Lianyungang but slightly lower in the south of Jiangsu and surrounding areas of Hongze Lake.On the annual scale,the variation coefficients between the measured precipitation data and the TRMM precipitation data are compared,and they show the same law that the fluctuation of precipitation is small in the south of Jiangsu but large in the north.…”
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Application of the Fuzzy Computational Intelligence in Power Quality Data Management by Hoda Farag

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Application of Functional Data Analysis in Complex Human Movement Analysis by Baifa Zhang, Zhi-Cheng Lin

“…This study clarifies the relevant concepts and basic processes of functional data analysis, outlines the computational framework of functional principal component analysis, and focuses on exploring its applications in sports science, clinical rehabilitation, and motor development. …”
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Design and application of wireless network optimal data sharing architecture by Rupeng XU, Jingye CUI, Zeluo GUAN, Jing NING, Gang RU, Lei NIE, Zhiliang CHEN

“…During wireless network optimization，a variety of network data would be used. However，the presence of dispersed storage，low utilization rate and inconvenience in using and other issues of existing data are incapable of meeting the future needs of large data network optimization.Referring from the big data technology widely used in internet field，network optimization center，an architecture design of network optimization big data sharing platform was proposed，dispersed data was intergrated，and a unified data sharing port was formulated，which could utilize efficiency of data usage. …”
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Application of Big Data Technology in the EMU Fault Early Warning by WU Zhenyi

“…It uses a method of combining equipment fault mechanism and artificial intelligence algorithm to construct a fault early warning and prediction model of key components of EMU, which reflects the working status of a component with its key physical properties and identify potential faults in advance. Through the application of the big data platform and the traction motor fault early warning and temperature prediction model, traction motor fault rate of CR400AF Fuxing EMU decreased significantly from 0.5 pieces/106 km to about 0.1 pieces/106 km.…”
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Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics. by Lisa M Breckels, Sean B Holden, David Wojnar, Claire M Mulvey, Andy Christoforou, Arnoud Groen, Matthew W B Trotter, Oliver Kohlbacher, Kathryn S Lilley, Laurent Gatto

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Applications of Google Trends as a Data Source for Statistical Models by Klaudia Lenart

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Construction and application of Anhui Unicom enterprise big data platform by Tao WU, Tao LIU, Bin WANG

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Application of Hybrid Algorithm with Large Data in Wind Farm Modeling by GUO Min, ZHAO Qiao-e, GAO Jin-cheng, ZHOU Bin-long

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Retracted: Construction and Application of Media Corpus Based on Big Data by International Journal of Antennas and Propagation

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Design and application of wireless network optimal data sharing architecture by Rupeng XU, Jingye CUI, Zeluo GUAN, Jing NING, Gang RU, Lei NIE, Zhiliang CHEN

“…During wireless network optimization，a variety of network data would be used. However，the presence of dispersed storage，low utilization rate and inconvenience in using and other issues of existing data are incapable of meeting the future needs of large data network optimization.Referring from the big data technology widely used in internet field，network optimization center，an architecture design of network optimization big data sharing platform was proposed，dispersed data was intergrated，and a unified data sharing port was formulated，which could utilize efficiency of data usage. …”
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Towards Application of One-Class Classification Methods to Medical Data by Itziar Irigoien, Basilio Sierra, Concepción Arenas

“…The results of the comparison show the good performance of the typicality approach, which is available for high dimensional data; it is worth mentioning that it can be used for any kind of data (continuous, discrete, or nominal), whereas state-of-the-art approaches application is not straightforward when nominal variables are present.…”
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Data efficiency assessment of generative adversarial networks in energy applications by Umme Mahbuba Nabila, Linyu Lin, Xingang Zhao, William L. Gurecky, Pradeep Ramuhalli, Majdi I. Radaideh

“…This study investigates the data requirements of generative artificial intelligence (AI), particularly generative adversarial networks (GANs), for reliable data augmentation in energy applications. …”
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Data Overlay Mesh in Distributed Clouds Allowing Collaborative Applications by Milos Simic, Jovana Dedeic, Milan Stojkov, Ivan Prokic

“…We propose two types of collaborative applications that leverage stored procedures and event triggers for data consumption. …”
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A Survey of Data Mining Implementation in Smart City Applications by Zainab Salih Ageed, Subhi R. M. Zeebaree, Mohammed Mohammed Sadeeq, Shakir Fattah Kak, Zryan Najat Rashid, Azar Abid Salih, Wafaa M. Abdullah

“…It also seeks to define criteria for the creation of big data applications for innovative city services. …”
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On cyclostationary linear inverse models: a mathematical insight and implication by Justin Lien, Yan-Ning Kuo, Hiroyasu Ando, Hiroyasu Ando, Shoichiro Kido

“…Cyclostationary linear inverse models (CS-LIMs) are advanced data-driven techniques for extracting first-order time-dependent dynamics and random forcing information from cyclostationary observational data. …”
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