An Explainable AI (XAI)-based Intelligent Data Pipeline Optimization Framework that integrates data preprocessing, predictive analytics, explainability, and adaptive optimization is proposed that provides a transparent and trustworthy approach for next-generation intelligent data engineering systems.
Per Brinch Hansen, O. Olesen· International Journal of Dat...· 0 citations
An AI-powered Digital Twin architecture consisting of four modules that improves failure prediction, reduces downtime, optimizes resource allocation, and enhances emergency response compared to conventional approaches, supports the development of intelligent, resilient, and sustainable healthcare systems aligned with I...
Per Brinch Hansen, Børge Diderichsen· International Journal of Eme...· 0 citations
This paper surveys synthetic data generation techniques, privacy-preserving methods, applications, research challenges, and future directions for developing trustworthy AI systems.
Per Brinch Hansen, Børge Diderichsen· International Journal of Mod...· 0 citations
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