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The key contributions of the paper are: 1. Novel model to calculate brand perception from storylines Our model combines multiple classifier scores from large number of storylines to distill a comprehensive perception of a brand.
In this paper, a perception-enhanced smart robotic limb is presented to realize deeper incorporation of information in physical layers by deploying a three-channel perception and a semantic reasoning model to allow comprehensive perception of related objects, human actions and commands, for better adaption and robustness to environment changes.
Although the proposed model is just a first step we argue that the quantitative understanding of the governing principles of the pluripotency network, which requires the application of mathematical approaches, is an essential key to a comprehensive perception of ES cell behaviour.
Although the factors taken into consideration by SRH are not yet totally understood, individual SRH seems to reflect a comprehensive perception of health which includes biological, psychological and social aspects unlikely to be grasped by external observers [ 1].
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The findings of the study confirmed that comprehensive perception, wide use of memory functions, non-verbal deduction, spatial perception, coordination, concentration and motivation are characteristics of a productive operator.
The separation of storylines that score above the threshold is crucial for the formulae in "Comprehensive perception modeling" section.
The combination of Support Vector Machines (SVM) classifiers is used to build the final model to generate comprehensive perception.
In this paper the results of the first comprehensive study on perception of and satisfaction with urban forests and green space in seven Southeast European cities are presented.
Storylines, on the other hand offer a comprehensive view of users' perception of a brand.
The humanities researchers in particular conducted a comprehensive survey of the perception of tsunami risk in Europe, among 1,373 respondents.
Although, a detailed investigation of the JNDs for volume is required for a comprehensive understanding of haptic size perception of 3-D objects, there are no studies on the accuracy of the volume judgment by way of enclosure.
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