Recent Advances in Synthetic Aperture Radar Data Processing and Application by Gui Gao, Deren Li, Alejandro C. Frery

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Two Symbol Expansion Methods and Their Application to Reversible Data Hiding by Hyoung Joong Kim, Changhee Kang, Sang-Ug Kang

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Application of edge computing technology in smart grid data security by Zhuo Cheng, Jiangxin Li, Jianjun Zhang, Chen Wang, Hui Wang, Juyin Wu

“…Absrtact: In order to solve the problem that the two-way flow of power and information between user nodes and service nodes in the smart grid poses a huge threat to the privacy and security of user data, and at the same time, the limitation of the power bureau's computing resources also brings users response delay, service quality degradation and other problems, the author proposes the application of edge computing technology in smart grid data security. …”
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Light Echoes of Time-resolved Flares and Application to Kepler Data by Austin King, Benjamin C. Bromley

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ArcHydro Hydrological Geological Data Model and its Application by LUO Huihong, GAN Haoxin, LV Nenghui, HE Hong

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The application of blockchain technology in data trading: a systematic review by Wei Xiong, Huaibin Shao, Hong Ge

“…This study aims to offer in-depth insights into blockchain’s potential applications in data trading and future research directions.…”
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Special ridge-type estimator: Simulation and application to chemical data by Rasha A. Farghali, Adewale F. Lukman, Haadi Abdul-Rahaman, Zakariya Yahya Algamal, Samah M. Abo-El-Hadid

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Application of generalized multiplicative reliability function to Lithuanian's survival data by Rasa Senkuvienė

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Application of big data method in forecasting the risk of tariff recovery by Yadi ZHAO, Zhao WU, Qingbing LI, Xiaofeng CHEN, Baoting WANG

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Time Series Forecasting with Data Transform and Its Application in Sport by Hao Do, Duc Chau, Thuc Cai, Han Lam, Dat Nguyen, Tuong Lam, Son Tran

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Application of Spritz Encryption in Smart Meters to Protect Consumer Data by Lincoln Kamau Kiarie, Philip Kibet Langat, Christopher Maina Muriithi

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Construction and Application of Data Model in the Maritime Stereotactic Space Use by LI Shanchi, PENG Yihuan

“…According to the technical route of ontology construction, data correlation and analysis application, the data model was built to study the maritime stereotactic space, which was applied to developing the 3D visualization application system. …”
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Detection of OSA Through the Application of Deep Learning on Polysomnography Data by Hasan Ulutas, Recep Sinan Arslan, Muhammet Emin Sahin, Halil Ibrahim Cosar, Cagri Arisoy, Ahmet Sertol Koksal, Mehmet Bakir, Bulent Ciftci

“…This paper presents a comprehensive study on the application of deep learning techniques to accurately detect sleep apnea. …”
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Hybrid Network-on-Chip: An Application-Aware Framework for Big Data by Juan Fang, Sitong Liu, Shijian Liu, Yanjin Cheng, Lu Yu

“…In this paper, we propose a hybrid NoC framework, combining buffered and bufferless NoCs, to make the NoC framework aware of applications’ performance demands. An optimized congestion control scheme is also devised to satisfy the requirement in energy efficiency and the fairness of big data applications. …”
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Application of big data method in forecasting the risk of tariff recovery by Yadi ZHAO, Zhao WU, Qingbing LI, Xiaofeng CHEN, Baoting WANG

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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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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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