Skip to content
Log in
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

Mohammad Q. Al-Jamal

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Aug 2026

Artificial neural network modeling for predicting mechanical properties of Mediterranean green composites

The growing demand for sustainable materials has positioned lignocellulosic fiber-reinforced polypropylene composites as promising alternatives to conventional composites. However, accurately predicting key mechanical properties, including Young’s modulus (YM), ultimate tensile strength (UTS), and Elongation at Break (...

M. Hayajneh, F. al-Oqla, Mohammad Q. Al-Jamal · 1 citation
Aug 2026

Quadratic support vector machine learning for modeling and predicting the mechanical performance of sustainable biocomposite materials for structural applications

The properties of polypropylene (PP)-based natural fiber materials are influenced by complex nonlinear interactions between chemical composition and structural behavior. This makes the accurate prediction of their performance a challenging task for various industries including civil and structural applications. To addr...

F. al-Oqla, M. Hayajneh, Mohammad Q. Al-Jamal et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.