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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

K. Almitani

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2 papers indexed here

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Open access Oct 2026

Computational modeling and optimized machine learning for multidrug solubility prediction in supercritical carbon dioxide.

Sparse, leakage-controlled calibration is established as a more defensible use case than unconditional prediction for unseen drugs, while identifying the need for richer molecular descriptors and external prospective validation.

N. Abu-Hamdeh, H. Hijji, K. Almitani · 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

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