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Traditional ways of understanding customer behaviour are mainly based on predominantly field surveys, which are not effective as they require labor-intensive survey. As mobile devices and ubiquitous sensing technologies are becoming more and more pervasive, user-generated data from these platforms are providing rich information to uncover customer preference. In this study, we propose a shop recommendation...
We proposed a new method to perform intensity calculation for the Abbe's image model. The method is similar to the decomposition of the transmission cross coefficients (TCC) of the optics system using sum of coherent systems decomposition (SOCS) by SVD. The singular values and kernels are derived efficiently for a pixel-based source. The intensity calculation can be expressed using sum of convolutions...
It is well-known that Bayesian approaches can avoid the discontinuity problem of the classical frequent unit root testing statistics. In this paper, the main object is to develop a new fully Bayesian unit root approach based on Kullback-Leibler divergence function and the mixed prior specification. The finite sample behavior of the proposed test statistic is illustrated using Monte Carlo simulation...
A comparative study of graphene nanoribbon MOSFET (GNR-FET) using the extended Huckel theory (EHT) and tight-binding (TB) is conducted within the frame of the self-consistent ballistic non-equilibrium Greenpsilas function (NEGF) formalism. The bandgap variation in armchair-edged GNR (aGNR) induced by the length of the edge bond, as well as the transport characteristics with bond length relaxation,...
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