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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

N. Abu-Hamdeh

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4 papers indexed here

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Open access Sep 2026

Data-driven modeling of supercritical CO₂ processing with optimized machine learning: prediction of clobetasol propionate solubility

Machine learning can be used to support data-driven modeling of supercritical CO₂ processing. The method of machine learning modeling is applied in this work for evaluation of small-molecule processing under supercritical conditions. As a necessary step, the solute solubility in the solvent is evaluated via different m...

N. Abu-Hamdeh, M. Ajour · 0 citations
Open access Sep 2026

Leakage-aware machine learning for data-driven performance prediction of metal–organic framework systems

Metal–organic frameworks (MOFs) are highly tunable porous materials whose performance is governed by complex interactions among structural, chemical, material, and operating variables. This study develops a leakage-aware, data-driven framework for predicting two distinct MOF performance endpoints: loading capacity an...

N. Abu-Hamdeh, M. Ajour, A. Milyani et al. · 0 citations
Open access Aug 2026

Utilization of machine learning models and grey wolf optimization method in estimation of pharmaceutical solubility in supercritical CO2

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 · 0 citations
Open access Sep 2026

Advanced data driven models based on machine learning for detection of faults and failures in solar based renewable energy systems

A novel framework that integrates Extended Kalman Filter (EKF) state estimation with uncertainty-aware graph learning for photovoltaic (PV) array fault detection and localization and demonstrates strong robustness to sensor noise and transient faults by leveraging physical uncertainty to guide graph topology.

Saud Wasly, N. Abu-Hamdeh · 0 citations

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