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 One-of-a-kind Hair-On Hides oil production.Often the feedstock propert

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Violence against health workers in Family Medicine Centers

Nouf Al-Turki,1 Ayman AM Afify,1 Mohammed AlAteeq2 1Family Medicine Department, Prince Sultan Military Medical City, 2Department of Family Medicine and PHC, King Abdul-Aziz Medical City, National Guard Health Affairs, Riyadh, Kingdom Train Set of Saudi Arabia Background: Health care violence is a significant worldwide problem with negative conseque

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Novel therapeutic strategy for unilateral diaphragmatic paralysis in children with univentricular circulation: EMG-guided diaphragmatic stimulation

Unilateral diaphragmatic paralysis in children with univentricular circulation poses significant challenges, including impaired hemodynamics and increased postoperative complications.Restoring diaphragmatic function is crucial to mitigate these risks.This study Medical Gloves investigates the feasibility of automated stimulation of the paretic diap

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A Spatiotemporal Fuzzy Modeling Approach Combining Automatic Clustering and Hierarchical Extreme Learning Machines for Distributed Parameter Systems

Modeling distributed parameter systems (DPSs) is challenging due to their strong nonlinearity and spatiotemporal coupling.In this study, a three-dimensional fuzzy modeling method combining genetic algorithm (GA)-based Uva Ursi automatic clustering and hierarchical extreme learning machine (HELM) is proposed for DPS modeling.The method utilizes GA-b

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