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We also describe our novel small animal model which utilizes humanized Rag2−/−γc−/− mice.
This chapter discusses the intensity-based registration model which utilizes statistical rules to describe the spatial transformation.
We also describe the process of building our model which utilizes a large set of simulation traces and is based on general linear least squares approximation techniques.
This paper presents a fuzzy chance-constrained scheduling model which utilizes fuzzy variables to describe uncertain features of distributed generators (DGs).
We propose a distributed dataflow execution model which utilizes a distributed dictionary for data memoization, allowing each parallel task to schedule instructions without direct inter-task coordination.
This research recommends a model which utilizes spatial considerations for horizontal curve safety prediction in addition to current Highway Safety Manual prediction capabilities using individual curve geometric features.
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The cracking mechanism was analyzed using the Rigid Body Spring Method with a corrosion-expansion model, which utilized a set of experimental data relating to corrosion distribution.
The forces generated in the fluid domain acted as the loads in the transient model which utilized cohesive zone modelling to predict the initiation of delamination cracks in the carbon-fiber/epoxy substrate.
In this study, an empirical model, which utilized the initial metal distribution in soils and a set of parameter values independently determined from sequential extraction, was developed for estimating the time-dependent heavy metal extraction by EDDS from single-metal and multi-metal contaminated soils.
The SVM model, which utilized a nonlinear mapping technique, was built using LibSVM [ 51].
Prior knowledge is incorporated using a plant appearance model implemented with Gaussian mixture models, which utilizes incrementally information from previously segmented instances.
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