A circularity-embedded explainable machine learning framework for environmental performance assessment of industrialized construction projects
Industrialized construction projects require decisions that connect embodied carbon, material use, operation, and end-of-life recovery, yet these outcomes are rarely observed together. Existing stage-specific prediction and scoring studies therefore provide limited support for auditable project diagnosis under frag...