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Adequate and simultaneous accounting for soot, radiation, and pollutant emissions poses challenges in modeling of oxygen-enriched turbulent flames.
A case study of four bridge sites at Siletz Bay, Oregon illustrates the challenges in modeling of tsunamis on the Pacific Northwest coast.
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An inherent challenge in modeling of human behavior is efficient and accurate transfer of knowledge from humans to models, and subsequent retrieval.
One of the main remaining challenges is efficiency in modeling of the physics, handling the multi-scale properties involved and developing robust numerical methodologies.
We review different methods to address the considerable challenges in modeling the binding of a short yet highly flexible peptide to its partner.
Particle shape plays a key role in determining the behaviour of bulk solids, which poses a number of challenges in modelling and simulation of particulate systems.
In this paper, we present a high-level examination of challenges in computational modeling of visual saliency, with a heavy emphasis on human vision and neural computation.
This article discussed the certainties and challenges in modeling gum formation in blends of Brazilian gasoline with anhydrous ethanol.
Section 3 discusses challenges in the modeling of dependability characteristics in CPS systems and uses formal methods to model and reason about dependability needs in CPS applications.
This paper presents a new methodology for energy demand forecasting that addresses the heterogeneity challenges in energy modeling of buildings.
The challenges in mathematical modeling of bioenergy systems which include the difficulty in generalizing a bioenergy system, the lack of physical and chemical properties of various biomass, the complexity of multi-scale processes and the validation of the models were then discussed.
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