BASE OIL PROCESS MODELLING USING MACHINE LEARNING

Base Oil Process Modelling Using Machine Learning

The quality of feedstock used in base oil processing depends on the source of the crude oil.Moreover, the refinery is fed with various blends of crude oil to meet the demand of the refining products.These circumstances have caused changes of quality of the feedstock for the base oil production.Often the feedstock properties deviate from the origina

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The detection of reverse accumulation effect in the positron annihilation profile of stack of aluminum and silver foils

The implantation profile of positrons emitted from 22Na into princess polly dresses long sleeve a stack of aluminum and silver foils is the subject of the presented report.The characteristic dimple in the profile behind the Ag foil was detected.This effect arises from the differences in the linear absorption coefficient of aluminum and silver.The g

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Modelling spatio-temporal patterns of disease for spatially misaligned data: An application on measles incidence data in Namibia from 2005-2014.

BACKGROUND:Making inferences about measles distribution patterns at small area level is vital for more focal targeted intervention.However, in statistical literature, the analysis of originally collected data on one resolution with the purpose to make inferences on a different level of spatial resolution is referred to as the misalignment problem.I

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