Nelson Musilanga, Hussein Nasib, Given Jackson, Frank Shayo, Clarkson Nhanga, Saleh Girukwigomba, Ambokile Mwakibolwa, Samson Henry, Keneth Kijusya, Edgar Msonge
Exploring the Prevalence and Components of Metabolic Syndrome in Sub-Saharan African Type 2 Diabetes Mellitus Patients: A Systematic Review and Meta-Analysis
Journal of obesity
accurately describing evolution water droplet size distribution crude oil fundamental evaluating water separation efficiency dehydration systems enhancing separation aqueous phase dispersed dielectric oil phase significantly lower dielectric constant dispersed phase achieved increasing water droplet size application electrostatic field pipeline mathematical models accurate computationally expensive herein introduced constrained machine learning ml surrogate model developed based population balance model model serves practical alternative facilitating fast accurate predictions constrained ml model utilizing extreme gradient boosting xgboost algorithm tuned genetic algorithm ga incorporates key parameters electrostatic dehydration process including droplet diameter voltage crude oil properties temperature residence time input variables output number water droplets per unit volume furthermore modified objective function xgboost algorithm incorporating two penalty terms ensure models predictions adhere physical principles constrained model demonstrated accuracy test set mean squared error 0005 coefficient determination 0998 efficiency model validated comparison experimental data results population balance mathematical model analysis shows initial droplet diameter voltage highest influence model aligns observed behaviour realworld process