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Hence, it is important to use compressible models for accurate stress state predictions.
Accordingly, this paper studies, analyzes and proposes models for accurate modeling of low-power wireless communications.
Through detailed simulation and analysis, we show the importance of considering rigorous models for accurate prediction.
In this study, bus rollover was investigated the implementation of adequate material models for accurate treatment.
The effect of layout parasites is considered in detail in the 90-nm process models for accurate RF analysis.
We employ state-of-the-art techniques for face detection and a robust eye detection scheme using active shape models for accurate landmark localization.
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The predicted absorptivity is then employed in the FEM model for accurate computation of bend angle.
Absorptivity predicted by the ANN is used as input to the FEM model for accurate modeling of laser bending process.
This paper proposes a novel feature representation model for accurate pose estimation.
Moreover, the inherent non-planar nature of a FinFET demands 3D modeling for accurate analysis of the device performance.
Based on the generic setup in the work [3], we derive a new and different model for accurate phase-to-height mapping determination and parameters analysis.
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