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Bacterial meningitis is still a life-threatening disease, and early diagnosis of pathogen can be crucial to improving survival rate. Using the surface-enhanced Raman scattering (SERS) platform developed by our group, the pathogens can be differentiated on the basis of their SERS spectra which are believed to related to their surface chemical components. We collected the SERS spectra of ten pathogens:...
In any modern petrochemical plant, the plant-wide mass data rendering the real conditions of manufacturing is the key to the operation managements such as production planning, production scheduling and performance analysis. Because of the characteristic of data reconciliation and gross error detection, it is quite suitable to address plant-wide mass balance problem using data reconciliation and gross...
Due to the fluctuation and complexity of the financial time series, it is difficult to use any single artificial technique to capture its non-stationary property and accurately describe its moving tendency. So a novel hybrid intelligent forecasting model based on empirical mode decomposition (EMD) and support vector regression (SVR) is proposed. EMD can adaptively decompose the complicated raw data...
This paper presents the development of automatic incident detection (AID) models based on the partial least squares regression (PLSR), and compare it with support vector machine classifier which has exhibited good performance for freeway incident detection. The performance of AID algorithms is evaluated using the common criteria of detection rate, false alarm rate, and mean time to detection. Moreover,...
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