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Titlebook: Computational Statistics and Data Intelligence; APCAMS 2023, Chongqi Wenfeng Wang,Wanyang Dai,Hari M. Srivastava Conference proceedings 202

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Method of Spare Parts Inventory Decision on the Aircraft Integrity Performance,recasting of spare parts demand, the distribution status of spare parts that generate demand must first be determined. In this paper, combined with the analysis of the statistical probability distribution characteristics of spare parts demand, taking the total cost budget constraint and the maximum
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Missing Value Filling Method Based on Scale Data-Correlation Coefficient Method,nts‘ family education project as an example, and use the mean squared error and mean absolute error as evaluation indicators. By comparison with the common median and plurality methods, it was found that filling the scale data using the correlation coefficient method yielded the smallest mean square
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System Analysis and Optimization for Random Dynamic Signals,als has strong global search ability and popularization adaptability, the new intelligent optimization algorithm proposed in this paper is becoming one of the most active research directions in intelligence science, information science and artificial intelligence, and has been rapidly popularized an
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Modelling Odds and Probability of Stillbirth Due to Maternal Demography (Race, Marital Status, Matematernal age and antenatal care) among women in Malaysia. A descriptive result of the variable for stillborn babies indicated that mothers who are ‘Bumiputera’ (66.5%), married (94.2%), age less than or equal to 35 years old (77.4%) and having antenatal care (88.4%). The chi square tests of independ
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Effectiveness of Roelands Formula with Constant VPC in EHL of Higher Pair Contact,ssion varying with the temperature, and the results are compared with those with the constant VPC. The results show that the lubricant viscosity, film thickness and film temperature rise of EHL are highly sensitive to the VPC at low temperature and high pressure. Even a modest change in the VPC prod
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A Robust Localization Algorithm for Intelligent and Connected Vehicles by Variational Bayesian Methution. As a result, a robust state-space model is developed, and the unknown states and parameters of the proposed model are calculated by the variational Bayesian method. Finally, the experimental results indicate the effectiveness.
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