Application of Explainable Artificial Intelligence in Sustainable Construction Materials

By Dr Syed Muhammad Ibrahim, Dr Saad Shamim Ansari, Prof Syed Danish Hasan

Application of Explainable Artificial Intelligence in Sustainable Construction Materials unveils the cutting-edge integration of machine learning and XAI to revolutionize civil engineering. From predictive modelling of properties in sustainable construction materials to interpreting results using multi-layered, model-agnostic Shapley Additive Explanations (SHAP) techniques, such as summary plots and force plots (primary layer of explainability), and ICE-PDP curves (secondary layer of explainability). This book equips readers with the tools to optimise eco-friendly materials while reducing environmental impact.

Perfect for engineers, researchers, and policymakers, it turns complex predictions into practical solutions for a sustainable future.

• Format: Hardcover
• Language: English
• ISBN: B0G5289V88
• ISBN13: 9798901767160
• Release Date: December 2025
• Publisher: Notion Press
• Length: 264 Pages
• Weight: 2.51 lbs.
• Dimensions: 0.8" x 8.5" x 11.0"