The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Trust, as the basis of human interactions, has been playing an important role in addressing information sharing, experience communication, and public opinions. Trust-aware recommender systems are an effective solution to the information overload problem, especially in the online world where we are constantly faced with inordinately many choices. In this paper, to build a trust-aware recommender system...
A new hybrid algorithm (WPNOSC-NPLS) is proposed to eliminate the interference of temperature variation and develop the robust calibration models for determining the main components concentration in milk using the near infrared spectra. At first, the three dimensional (3D) spectra including wavelength, temperature and absorbency are constructed. Through unfolding method, the wavelet packet transform...
To take advantages of multiscale property of near infrared (NIR) spectra, a new hybrid algorithm (GA-WPLS) was proposed for developing the multivariate regression model in the wavelet domain instead of the spectra domain. At first, wavelet packet transform (WPT) algorithm and its reconstruction algorithm are employed to split the raw spectra into different frequency components in wavelet domain. Then...
A new algorithm (WFCE) was proposed for simultaneously eliminating background and noise based on wavelet packet transform (WPT) and information entropy theory. At first, WPT algorithm and reconstruction algorithm were employed to split the raw spectra into different frequency components. Then the information entropy of each frequency component was calculated, showing the uncertainty to the measured...
To improve the training efficiency of least squares-support vector machine (LS-SVM) method, a new algorithm was proposed for developing the multivariate regression model using near-infrared (NIR) spectra and named as PCA-PSO-LS-SVM. Coupled with principal component analysis (PCA) and particle swarm optimization (PSO), this algorithm can take advantage of spectral dimension reduction and parameter...
To establish the analytical calibration models with strong prediction ability and robust performance, it is very important to eliminate the interference information in diary product measurement using near-infrared (NIR) spectroscopy techniques. In this paper, five correction methods including extended multiplicative scatter correction, standard normal variate, orthogonal signal correction, similar...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.