Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Jamal A. Abdalla

View on Semantic Scholar

4 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.

Sep 2026

MACHINE LEARNING PREDICTION OF TENSILE PROPERTIES OF ENGINEERED CEMENTITIOUS COMPOSITES

Engineered Cementitious Composites (ECC) exhibit exceptional strain-hardening behavior, yet predicting their tensile properties remains challenging due to complex nonlinear interactions among mix constituents and fiber characteristics. This study presents a comprehensive machine learning framework for predicting both t...

Amro A. Seifelnasr, M. A. Alhaj-Hussein, Jamal A. Abdalla et al. · 0 citations
Sep 2026

MACHINE LEARNING-BASED INVERSE DESIGN OF ECCENTRICALLY LOADED RECTANGULAR CONCRETE-FILLED STEEL TUBE (R-CFST) COLUMNS

Concrete-filled steel tubes (CFST) have been used in structural engineering due to the advantages of the ductility of steel and strength of concrete. While a large number of research studies are available for estimating the ultimate load capacity of the CFST cross-sections, the inverse problem of designing the optimum...

Hadia E. M. Ahmed, Jamal A. Abdalla, R. Hawileh · 0 citations
Open access Sep 2026

Machine learning and SHAP for predicting the shear contribution of FRP strengthening in beams

Machine learning (ML) methods are frequently applied for reliable prediction of the shear strength contribution of fiber-reinforced polymer (FRP) strengthened reinforced concrete (RC) beams. While offering high accuracy, prior ML models failed to interpret the rationale behind predictions. Model interpretability is c...

Zahira Sadoun, A. Elnemr, Farid Bouziadi et al. · 0 citations
Open access Sep 2026

Crack-Width Threshold-Guided Design of Self-Healing Polyethylene Fiber-Reinforced Engineered Cementitious Composites (ECCs)

Polyethylene (PE) fibers enable engineered cementitious composites (ECCs) to achieve tensile strain-hardening and multiple-cracking behavior through fiber bridging; however, the relatively large crack widths that can develop in PE fiber-reinforced high-strength ECC (HS-ECC) may limit its autogenous self-healing capabil...

Zhi-Gang Zhang, Xiang-Wen Lei, Jamal A. Abdalla 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.