THE IMPACT OF DATA SECURITY ON THE INTENTION OF VIETNAMESE CONSUMERS TO USE E-WALLETS by Thi Thu Huong Hoang, Hoang Nam Vu, Thi Khanh Chi Nguyen

“…The data consist of 236 observations from a survey of consumers in Vietnam. …”
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Simulation Comparison of Different Cooling Modes of Blade Server in Data Centers by Liu Shengchun, Liu Zhang, He Wei, Jia Ziang, Luo Yilin, Zhu Kai

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Prediction of ball-on-plate friction and wear by ANN with data-driven optimization by Alexander Kovalev, Yu Tian, Yonggang Meng

“…To predict sliding friction and wear at mixed lubrication conditions, in this study a specific ANN structure was so designed that deep learning algorithms and data-driven optimization models can be used. …”
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Automatic control of air temperature in the greenhouse considering the weather forecast data by A. G. Senkov

“…The article proposes a method based on the principle of disturbance compensation using weather forecast data. The plant dynamic model structure is described by the linear 1st order aperiodic link with delay both for the control circuit and for the disturbance circuit. …”
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Design and verification of HDLC data frame parallel search and decapsulation module by Qian Yong, Liu Wei

“…The article follows the HDLC standard data link layer specification, uses the hardware description language Verilog HDL to implement a parallel structure-based HDLC frame search and decapsulation circuit, and uses System Verilog technology to build a verification platform, and randomly generates HDLC data frames to verify the correctness of the design. …”
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Research and Application of Automatic Collection Technology of Locomotive Onboard Video Data by MU Yuanpeng

“…The scheme uses an onboard GPU to perform batch code conversion on a plurality of different formats of video data, automatically perform video integrity check, correct video data SCR and PTS clocks, and implement preprocessing and structuration of video data. …”
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High-performance federated continual learning algorithm for heterogeneous streaming data by Hui JIANG, Tianliu HE, Min LIU, Sheng SUN, Yuwei WANG

“…Aiming at the problems of poor model performance and low training efficiency in training streaming data of AI models that provide intelligent services, a high-performance federated continual learning algorithm for heterogeneous streaming data (FCL-HSD) was proposed in the distributed terminal system with privacy data.In order to solve the problem of the current model forgetting old data, a model with dynamically extensible structure was introduced in the local training stage, and an extension audit mechanism was designed to ensure the capability of the AI model to recognize old data at the cost of small storage overhead.Considering the heterogeneity of terminal data, a customized global model strategy based on data distribution similarity was designed at the central server side, and an aggregation-by-block manner was implemented for different modules of the model.The feasibility and effectiveness of the proposed algorithm were verified under various data increment scenarios with different data sets.Experimental results show that, compared with existing works, the proposed algorithm can effectively improve the model performance to classify old data on the premise of ensuring the capability to classify new data.…”
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Analysis of Organizational Factors Promoting Data Utilization in Large Japanese Corporations by Kazuo Yagura

“…Building upon research on Big Data Analytics Capabilities, as represented by Gupta and George (2016), we categorized corporate structure into three primary organizational segments: “Data Utilization Organization,” “Executive/Corporate Level,” and “Business Units.” …”
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Entropy techniques for robust management decision making in high-dimensional data by Jan Kalina

“…This suggests that managerial decision-making processes should reflect the inherent fractal structure present in the given multivariate data. The work emphasizes the importance of considering fractal characteristics in managerial decision-making, thereby advancing the applicability and effectiveness of entropy-based methods in management science.…”
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Physics-based and data-driven hybrid modeling in manufacturing: a review by Sathish Kasilingam, Ruoyu Yang, Shubhendu Kumar Singh, Mojtaba A. Farahani, Rahul Rai, Thorsten Wuest

“…Sensors, connectivity, and platforms provide unprecedented access to quantify the quality and diversity of manufacturing data. Progress in data-driven modeling is exponential across all industries. …”
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Contribution of big data analytics to risks and disruptions mitigation and agility performance by Aziz Barhmi, Soulaimane Laghzaoui

“…The study is based on survey data collected from 203 foreign companies in global value chains located in Morocco's industrial acceleration zones, whose legal status is assimilated to foreign territory. …”
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University students' self-assessment of data literacy: A validation study. by Jeonghyun Kim, Lingzi Hong, Ayoung Yoon

“…Understanding and evaluating the factors that shape an individual's data literacy is important for benchmarking proficiency and tailoring curricula, yet the underlying components and structure of data literacy for students in four-year institutions are unknown. …”
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High-performance federated continual learning algorithm for heterogeneous streaming data by Hui JIANG, Tianliu HE, Min LIU, Sheng SUN, Yuwei WANG

“…Aiming at the problems of poor model performance and low training efficiency in training streaming data of AI models that provide intelligent services, a high-performance federated continual learning algorithm for heterogeneous streaming data (FCL-HSD) was proposed in the distributed terminal system with privacy data.In order to solve the problem of the current model forgetting old data, a model with dynamically extensible structure was introduced in the local training stage, and an extension audit mechanism was designed to ensure the capability of the AI model to recognize old data at the cost of small storage overhead.Considering the heterogeneity of terminal data, a customized global model strategy based on data distribution similarity was designed at the central server side, and an aggregation-by-block manner was implemented for different modules of the model.The feasibility and effectiveness of the proposed algorithm were verified under various data increment scenarios with different data sets.Experimental results show that, compared with existing works, the proposed algorithm can effectively improve the model performance to classify old data on the premise of ensuring the capability to classify new data.…”
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Anomaly traffic detection method based on data augmentation and feature mining by AN Yishuai, FU Yu, YU Yihan, LIU Taotao

“…Secondly, a feature correlation matrix was calculated using the Pearson correlation coefficient, transforming traffic data into graph-structured representations to construct a graph dataset. …”
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Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation by Kensuke Nakamura, Bong-Soo Sohn, Simon Korman, Byung-Woo Hong

“…Diffusion models are a powerful class of techniques in ML for generating realistic data, but they are highly prone to overfitting, especially with limited training data. …”
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A Multisource Retrospective Audit Method for Data Quality Optimization and Evaluation by Li Jiang, Hao Chen, Yueqi Ouyang, Canbing Li

“…The heterogeneous data integration model based on retrospective audit is divided into four modules including original heterogeneous data, data structure, data processing, and data retrospective audit. …”
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ADOPTION OF IOT AND BIG DATA IN SHAPING AND ENHANCING ORGANIZATIONAL CITIZENSHIP BEHAVIOR by Pooja Kanojia, Rupa Khanna Malhotra, Amit Kumar Uniyal, Tannupriya Chaudhary

“…This paper focuses on the effect of demographic dimensions of organizational citizenship behavior (OCB) on the faculty of the HEIs of North West India. A structured questionnaire was adopted by (Podsakoff. et. al. 2000) and was circulated online to gather data from 309 faculties of the HEIs of North West India. …”
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A comparison of the Slovenian public librarianship based on the data of the Libecon study by Matjaž Žaucer

“…Abstract Focusing on economic aspects, the article compares the current state of librarianship in Slovenia to the average situation in the 15 old EU members and to the average situation in the 10 new EU members. Our data derive from the Libecon study for the year of 2001, as well as from other sources. …”
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Detecting global financial crises with scarce data by multivariate nonlinear filtering by Cécile Bastidon, Antoine Parent, Patrice Abry, Pierre Borgnat, Pablo Jensen, Barbara Pascal

“…Finally it is robust to scarce, incomplete and noisy data.…”
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Sociological and legal aspects of authentication in social networks through passport data by V. V. Popov, A. V. Erokhina, S. V. Cherkasova

“…The methodological and theoretical basis of the research is made up of particular and general scientific approaches to the study of this topic, formal logical and comparative methods, as well as methods of structural analysis were used.   In the course of the study, conclusions about the main features of storing citizens’ data, the complexity of storing data of Russians on foreign Internet platforms, conclusions on the need to filter information for minors were drawn, and also considered the phenomenon of deviant behavior among adolescents and the influence of information in social networks on their consciousness.…”
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