In this study, three regression techniques—multi-layer perceptron (MLP), Gaussian process regression (GPR), and weighted least squares (WLS)—were evaluated to predict the spatial temperature distribution, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb}...
Ahmed B. Khoshaim, N. Abu-Hamdeh, A. Aljinaidi· Scientific Reports· 0 citations
Accurate prediction of solubility and solvent density in supercritical fluids is essential for the efficient design and optimization of pharmaceutical and chemical processes. In this study, three machine learning regression models—Elastic Net Regression (ENR), Orthogonal Matching Pursuit (OMP), and Gaussian Process Reg...
N. Abu-Hamdeh, A. Aljinaidi, Ahmed B. Khoshaim· Frontiers in Chemistry· 0 citations
This study explores the analysis of Nystatin solubility and the density of supercritical carbon dioxide (SC-CO2) in supercritical processing. A total of 28 experimental observations were initially collected, which were randomly divided into training (80%) and test (20%) subsets for model development and evaluation, res...
Ahmed B. Khoshaim· Frontiers in Medicine· 0 citations
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