Dalla sorveglianza al controllo: la parabola della governamentalità algoritmica by Stefano Pietropaoli

“…Queste forme di controllo, basate su algoritmi e big data, sfidano le tradizionali nozioni di libertà, diritti e democrazia. …”
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Research on 5G banking industry private network solution by Yafeng WANG, Chunhua LIANG, Lanlan ZHU, Xiaoping WANG

“…At present, China is in the wave of new infrastructure construction.It had become an industry consensus to accelerate the construction of new information infrastructure resources such as 5G and computing resources, and then it was integrated with advanced technologies such as AI and big data to promote the high-quality development of China’s digital economy.As the main force of the digital economy, the banking industry urgently need to vigorously develop financial technology and explore intelligent transformation.Based on the industry pain points of the banking industry, combined with the urgent needs of customers in the banking industry, five business scenarios were sorted out including AI passenger flow insight and 5G+XR immersive marketing, and the key issues of planning and networking in the banking industry based on the above five business scenarios were summarized.It will help to construct of the industry’s 5G private network and successfully realize the digital and intelligent transformation of China’s banks.…”
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THE MAIN DIRECTIONS OF THE DIGITAL PROFILE CONCEPT DEVELOPMENT. FOREIGN EXPERIENCE AND DEVELOPMENT PROSPECTS by A. V. Badina, M. N. Oreshina

“…All of them become available when using complex analytical tools for processing Big data and a Unified identification and authentication system.…”
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GPS Position Prediction Method Based on Chaotic Map-Based Flower Pollination Algorithm by Wanjun Yang, Zengwu Sun

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The Impact of the Corona Pandemic on Retail in Inner Cities by Henry Goecke, Christian Rusche

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Insider Trading with Memory under Random Deadline by Kai Xiao, Yonghui Zhou

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Research Progress and Prospect of Reservoir Intelligent Operation by WANG Sen, WANG Xiayu, JIA Wenhao, NI Xiaokuan, LIU Xia

“…Reservoir operation is an important tool to adapt to climate changes and prevent floods and droughts.With the continuously advancing digitization,a new generation of information technology has begun to integrate with traditional reservoir operations.Based on 445 references collected by CNKI from 2000 to 2023 and 412 references in the core collection database of Web of Science,this paper employs CiteSpace to analyze the status and trend of intelligent operation research.Meanwhile,it systematically sorts out two types of operation technologies including model building and model solving,and six types of information technologies containing knowledge graphs,the internet of things,big data,cloud platform,artificial intelligence,and digital twins.Finally,the intelligent operation provides new ideas for reservoir group operation in river basins,but it still needs further breakthroughs in fields such as thorough perception,data mining,universal model building,and intelligent decision-making.…”
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Application and research of marketing using automatic similar users extension technology in telecom industry by Xu ZHANG, Yang LIU, Lei HU, Xiaodong ZHAO, Haibin ZHANG

“…With the explosive development of data service,TSP(telecommunication service provider) has taken advantages of owing massive user data.It is a necessity for TSP to develop value added business using big data techniques which explores the data value.The traditional way of marketing utilizes rules or supervised classification method meets the challenge of low success rate and long data acquisition period.Therefore,a new service named Lookalike was proposed.The service supports precision marketing by integrating matric learning and deep learning efficiently based on telecom operators’ data characteristics.The Lookalike service decreases the artificial participation and enhances the efficiency and success rate of marketing activity.The enhancement of TTM (time to market) has been improved in many real programs and the success rate of marketing has increased absolutely.…”
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Dire ce qui n’est pas encore là. Le statut logique de l’usage dans les énoncés de conception architecturale by Louis Vitalis

“…Finally, we will outline the links that this analysis has with current practices such as participative design, scale 1, making scenarios, the use of big data or neuroarchitecture.…”
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Research on the Application of User Recommendation Based on the Fusion Method of Spatially Complex Location Similarity by Lili Wang, Ting Shi, Shijin Li

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Secure Event-Triggered Mechanism for Networked Control Systems under Injection Cyber-Attacks by Xiao Cai, Jian Kang, Kaibo Shi

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The Gyrokinetic Limit for the Two-Dimensional Vlasov–Yukawa System with a Point Charge by Xianghong Hu, Xianwen Zhang

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Continuous speech speaker recognition based on CNN by Zhendong WU, Shucheng PAN, Jianwu ZHANG

“…Because of the bad modeling capability of big data and the bad performance of robustness, the development of this model meets the bottleneck.In order to solve this question, researchers began to focus on deep learning technologies. …”
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Vers une ontologie de domaine pour l’analyse des tissus anciens. Le projet Silknow et le cas du patrimoine soyeux européen by Marie Puren, Pierre Vernus

“…In this article, we present the Silknow project (Silk heritage in the knowledge society: from punched card to big data, deep learning and visual/tangible simulations, 2018-2021). …”
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Weak Convergence Theorems for Bregman Relatively Nonexpansive Mappings in Banach Spaces by Chin-Tzong Pang, Eskandar Naraghirad, Ching-Feng Wen

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Retracted: Content-Based E-Commerce Image Classification Research by Xiaoli Zhang

“…The 21st century is the era of big data in the Internet. Online shopping has become a trend, and e-commerce has developed rapidly. …”
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Estimation of Disease Transmission in Multimodal Transportation Networks by Yu Zheng

“…The effectiveness of the model is verified with big data of the distribution of COVID-19 virus. We also conduct model-based tests to analyze the role of lockdown on different travel modes. …”
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The Cardinal Spline Methods for the Numerical Solution of Nonlinear Integral Equations by Xiaoyan Liu, Jin Xie, Zhi Liu, Jiahuan Huang

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Information extraction from massive Web pages based on node property and text content by Hai-yan WANG, Pan CAO

“…To address the problem of extracting valuable information from massive Web pages in big data environments,a novel information extraction method based on node property and text content for massive Web pages was put forward.Web pages were converted into a document object model (DOM) tree,and a pruning and fusion algorithm was introduced to simplify the DOM tree.For each node in the DOM tree,both density property and vision property was defined and Web pages were pretreated based on these property values.A MapReduce framework was employed to realize parallel information extraction from massive Web pages.Simulation and experimental results demonstrate that the proposed extraction method can not only achieve better performance but also have higher scalability compared with other methods.…”
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Analysis of Two-Level Mesh Method for Partial Integro-Differential Equation by Quan Tang, Ziyang Luo, Xindong Zhang, Juan Liu

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