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The new prediction method combining these two parts was proposed to predict wind power.
A method combining these two purposes at a time and intended to obtain a drastic reduction of the computational labor implied by simulation techniques is proposed.
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This method combines these sources of emissions associated with selective timber harvesting to derive a single emission factor that is applied to the volume of timber extracted.
The proposed method combines these two approaches together in order to detect fixations in a rapid manner and obtain a fixation distribution with the lowest possible degree of noise.
Methods combining these different techniques also provide relevant information in analysis of the postural function.
The hybrid method combines the advantages of these two methods.
Our novel method combine these cues enables modeling the variability present in complex 3D models, and robustly decomposing them into architectural structural elements.
A method of combining these two solutions together is proposed for materials following the Ramberg Osgood stress strain relationship.
This paper proposes a convenient and efficient method of combining these essential elements using analytically derived shape factors for bending modes.
Consistent and scalable methods for combining these data are now required so that researchers can perform comprehensive integration of existing knowledge with new experiments, identify consistent signals, compare heterogeneous data, and validate hypotheses.
The present method combines advantages of these two methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com