Keywords: Explainable artificial intelligence
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

A drift-aware explainable artificial intelligence framework for dynamic construction risk governance using multi-domain fuzzy inference and Bayesian updating

Sachin Admane, Tejas Admane, Sanjaykumar Mali, Vivek Mohite
Journal: Construction Innovation
Construction Innovation: Information Process Management 1–24.
https://doi.org/10.1108/CI-03-2026-0135
Published: 18 September 2026
... capability to adapt to temporal changes or generate transparent decision support. This study aims to propose a drift-aware dynamic explainable artificial intelligence ( DXAI ) framework that integrates multi-domain fuzzy inference with Bayesian updating to enable adaptive and interpretable construction risk...
View article titled, A drift-aware explainable artificial intelligence framework for dynamic construction risk governance using multi-domain fuzzy inference and Bayesian updating
Open the PDF for A drift-aware explainable artificial intelligence framework for dynamic construction risk governance using multi-domain fuzzy inference and Bayesian updating in another window
Add to Citation Manager for A drift-aware explainable artificial intelligence framework for dynamic construction risk governance using multi-domain fuzzy inference and Bayesian updating
Includes: Supplementary data
This Feature Is Available To Subscribers Only

or Create an Account

Close subscription notice
Close access options