Sentence examples for distribution predictions from inspiring English sources
The summer rainfall distribution predictions also supported the above conclusion that model giss and echam clearly depicted the pattern.
Our previous work on high pressure homogenization demonstrated that both drop coalescence and breakage must be included to obtain satisfactory distribution predictions at high oil-to-surfactant ratios.
We found that the extended PBE model generated substantially improved distribution predictions compared to our previous model, with the degree of improvement dependent of the surfactant used.
This paper presents a numerical analysis of stress distribution predictions when shearing High Strength Low Alloy and Dual Phase sheet joints.
Accordingly, the Accuracy of mitochondrial or lysosomal percent mass distribution predictions was calculated relative to the observed staining patterns, based on the following equation: Accuracy = # correctly classified / # correctly classified + # incorrectly classified (1).
We compared potential distribution predictions made for a coastal dune plant (Scaevola plumieri) along the coast of South Africa, using a mechanistic model based on summer water balance (SWB), and two correlative models (a profile and a group discrimination technique).
Consequently, the Bayesian method can provide a variety of probability distribution prediction mechanisms to estimate the different parameters.
The results show that the proposed method is time efficient for the load distribution prediction of the bolted joint composite structures.
The thermal model is based on heat-transfer theory and its temperature distribution prediction incorporates internal conduction and heat generation effect as well as convection.
Bayesian filter algorithms [24] have achieved great success in handling the localization and tracking problem through the sequential estimation of target's state, cooperation with the movement modeling, prior distribution prediction, and posterior distribution estimation.
In the tight member, a model for pore pressure and stress distribution prediction around a borehole is used based on the poroelasticity theory.
