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Titlebook: Human Centered Computing; 6th International Co Qiaohong Zu,Yong Tang,Vladimir Mladenović Conference proceedings 2021 Springer Nature Switze

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A Data Fusion Model Based on Multi-source Non-real-Time Intelligence,eight quantification analysis and fusion of non-real-time intelligence source are realized based on this model, the evidence reasoning method is used to solve the uncertainty in decision-making, and the accuracy of data fusion is improved by integrating non-real-time and real-time intelligence sourc
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Ancient Chinese Lexicon Construction Based on Unsupervised Algorithm of Minimum Entropy and CBDB Opgorithm based on the minimum entropy model is applied to a large-scale ancient text corpus, and a dictionary composed of high-frequency co-occurring neighbor characters is extracted. Two experiments were performed on this lexicon. Firstly, the experimental results of ancient text segmentation are co
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Availability Analysis of GNSS RAIM Based on Maximum Undetectable Position Bias,the satellite navigation; however, with the increase of the number of satellites, the probability of multiple outliers increases. Although a number of studies analyzed the performance of the combined GNSS Receiver Autonomous Integrity Monitoring (RAIM), the analysis of the case of multiple outliers
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Digital Rights Management Platform Based on Blockchain Technology,igital works confirmation copyright, complex copyright transactions, copyright protection and infringement monitoring. Although Digital Rights Management (DRM) can provide certain security for digital copyrights, it still cannot effectively solve these problems. The decentralization, non-tampering,
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A Deep Hybrid Neural Network Forecasting for Multivariate Non-stationary Time Series,tionary time series have always been the most common data sets. However, the processing efficiency is low but the cost is high whenthe traditional methods is used for modeling non-stationary time series. This paper is aimed at providing the methodological guidance for building low-cost models for mo
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Qiaohong Zu,Qinyi Liu,Jiangming Wu of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods...The authors extensively use such tools throughout thi
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