NORDIC denoising on VASO data by Lasse Knudsen, Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel A. Handwerker, Steen Moeller, Peter A. Bandettini, Peter A. Bandettini, Laurentius Huber

“…NOise Reduction with DIstribution Corrected (NORDIC) PCA (principal component analysis) is a denoising technique specifically aimed at suppressing thermal noise, which has proven useful for increasing the SNR of high-resolution functional data. While NORDIC has been examined for BOLD acquisitions, its application to VASO data has been limited, which was the focus of the present study. …”
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Data circulation security governance from the perspective of data socialization: a five-sphere framework by HUANG Keman, XU Duo, DU Xiaoyong

“…The technology system provides secure technical capabilities for data circulation, the industry system fosters industrial ecosystems to promote cost reduction and efficiency improvement, the standards system reduces coordination difficulties by promoting standardization, the policy system constructs policy mechanisms to provide an innovative environment, and the practice system provides demonstration guidelines to promote application. …”
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A Robust Enhanced Ensemble Learning Method for Breast Cancer Data Diagnosis on Imbalanced Data by Zhenzhen Wang, Junde Xie, Jia Zhang

“…Addressing class imbalance in breast cancer data is essential for enhancing detection accuracy, yet traditional machine learning methods often overlook this imbalance, limiting their classification performance. …”
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The Semantic Reference Data Modelling Method: Creating Understandable, Reusable and Sustainable Semantic Data Models by George Bruseker, Nicola Carboni, Matthew Fielding, Denitsa Nenova, Thomas Hänsli

“…A case study is used to illustrate the framework’s application in the cultural sector, specifically highlighting the advantages obtained in documentation, data consistency, and external data ingestion. …”
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Blockchain Technology as a Factor of Global Modernization of International Processes of Customs Regulation. Application of the Digital System of Distributed Registers in the Custom... by V. A. Shamakhov, P. A. Koryagin, R. A. Kuntishev

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GDMD: A Disaster Data Hub Fabric the Open Data Network for Disaster Risk Reduction by Juanle Wang, Kun Bu, Xiaodong Min, Qiuyuan Wang, Yuelei Yuan, Feiran Sun

“…The open model of GDMD can realize Findable, Accessible, Interoperable, and Reusable data governance in disaster risk reduction, further pushing the Open Science mechanism and innovative applications of resources.…”
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HOSPI Application to Portuguese Hospitals’ Websites by Delfina Soares, Joana Carvalho, Dimitrios Sarantis

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Key Technology of SSL Encrypted Application Identification Under Imbalance of Application Class by Xuejiao Chen, Pan Wang, Shidong3 Liu

“…Through a in-depth study about the reason of network class imbalance, a method called SMOTE was chosen over the data set sampling preprocess, making full use of the advantages which is high accuracy of traffic model feature matching identification and sorting out the encrypted SSL flow, and then using the clustering method and the SVM based on mutual information classification method to further identify SSL encryption specific application, like HTTPS/POPS etc. …”
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Advancements in digital twin technology and machine learning for energy systems: A comprehensive review of applications in smart grids, renewable energy, and electric vehicle optim... by Opy Das, Muhammad Hamza Zafar, Filippo Sanfilippo, Souman Rudra, Mohan Lal Kolhe

“…DT concepts facilitate the creation of virtual models mirroring physical assets, streamlining real-time data management and analysis. Driven by the potential of DTs to revolutionise energy systems, this paper offers a comprehensive review of DT applications in the power sector, specifically within next-generation energy systems like Smart Grids. …”
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Data-Driven Uplift Modeling by Anam Zahid, Faisal Kamiran, Samar Abbas, Bilal Qureshi, Asim Karim

“…Usually, such studies are retrospective in nature rather than controlled experiments; hence, pre-existing bias in the observed data can distort the true effect of treatment. Previous studies on uplift modeling has largely overlooked this bias, focusing instead on model-based solutions for specific applications. …”
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Reflections on data network technology by Lintao JIANG

“…The history of data network development and standardization was reviewed,and the idea ofsub-generational development concept for future network was put forward.It was pointed out that there were two technical routes in network design:the development technology route with users and business applications as the core,the gradual increase of network capabilities according to the needs of users and applications,and the development technology route with network as the core and the main body of capacity responsibility.Network 5.0 adopts “network as the core design concept”.A detailed description of three important capabilities of network 5.0 was given:endogenous credibility and security,endogenous network resource perception,deployment and control,and endogenous network certainty.…”
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MODELING OF BIVARIATE DATA FOR DEPENDABILITY by Adrian Stere PARIS, Constantin TÂRCOLEA

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Fuzzy Methods for Data Analysis by Ferdinando Di Martino, Irina Perfilieva, Salvatore Sessa

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OPEN DATA: ANALYSIS OF TRENDS by D. A. Kachan

“…The analysis of the applicability of the world experience on data discovery for the Republic of Belarus was conducted, the topical issues of ensuring the proper level of information protection when publishing data sets were discussed, effective ways of using open data were suggested, and the importance of ensuring sufficient regulatory regulation was noted. …”
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DRONES, PRIVACY AND DATA PROTECTION by Andrei-Alexandru STOICA

“…To identify the key issues, the paper will take into account major incidents that took place regarding breaches of data privacy, while also trying to distinguish how international law is applicable. …”
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Fuzzy panel data analysis by Muhammet Oguzhan Yalcin, Nevin Güler Dincer, Serdar Demir

“…But PDA requires to satisfy some statistical assumptions such as “heteroscedasticity”, “autocorrelation”, “correlation between units”, and “stationarity” and it is too difficult to hold these assumptions in real-time applications. In this study, fuzzy panel data analysis (FPDA) is proposed in order to overcome these constraints of PDA. …”
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Protection of personal data of the employee by S. M. Gusarov, K. Yu. Melnyk

“…The entry into employment is preceded by the work of the employer’s personnel service on personnel selection, within which personal information is received from job applicants. The personnel service is also responsible for the collection, processing, storage and use of data about employees. …”
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On the Application of a Sparse Data Observers (SDOs) Outlier Detection Algorithm to Mitigate Poisoning Attacks in UltraWideBand (UWB) Line-of-Sight (LOS)/Non-Line-of-Sight (NLOS) Classification by Gianmarco Baldini

“…The proposed techniques are applied to two data sets: the public eWINE data set with seven different UWB LOS/NLOS different environments and a radar data set with the LOS/NLOS condition. …”
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Methods of data aggregation for traffic reducing in SG commutation networks for security and SG data policy by Нух Таха Насіф

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Data Value-Added Service Comprehensive Evaluation Method on the Performance of Power System Big Data by Hao Zhang, Ye Liang, Hao Zhang, Jing Wang, Yuanzhuo Li, Xiaorui Rong, Hongda Gao

“…Firstly, based on the value-added service framework system of grid enterprises, this paper explores the basic technologies for power data applications and designs a technical roadmap for value-added services. …”
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