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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].
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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 present a heat release dynamics model which utilizes a well-stirred reactor (WSR) and one-step kinetics to describe the unsteady combustion process.
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.
The results of the ANFIS-FFA model is compared with the classical ANFIS model, which utilizes the fuzzy c-means (FCM) clustering method in the Fuzzy Inference Systems (FIS) generation.
The proposed approach is called Smart In-Memory Data Analytics Manager (SIM-DAM) model, which utilizes a dynamic working manner of the file system, as well as fully uses hardware mappings.
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CEO of Professional Science Editing for Scientists @ prosciediting.com