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Melasma is a widely spread skin pigmentation disease and accurate assessments of the disease severity is crucial during its treatment. Recently, several computerized methods have been developed to overcome the shortcomings of the conventional clinical assessment method. As a key step in algorithm, image segmentation has extensive impacts on the accuracy of the assessment. Currently, the optimal hybrid...
This paper builds improved Stochastic Filtering Model (SFM) for Condition Based Maintenance (CBM) using covariates obtained from Dynamic Principal Component Analysis (DPCA) of oil data. DPCA covariates, derived from DPCA of the oil data, represent most of the variability in the original data with reduced dimension and little cross-correlation. This makes DPCA covariates ideal for maintenance modeling...
In order to distinguish the different influence of investors' sentiment on stock return and its volatility, the states of stock market are divided to bull market and bear market, and the noise trade model of Delong, Shleifer, Summers and Waldmann is expanded. Based on the expanded model, the influence of investors' sentiment on stock return and its volatility under the different stock market states...
An observation quality evaluation system for onboard dual frequency GPS is presented in this paper. We investigate how to evaluate the quality of onboard dual frequency kinematic GPS receiver using in-flight observations, and provide several indices of onboard observation quality evaluation. To come over high dynamic characteristics of onboard observations, we design an efficient method of outlier...
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