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Author

Per Brinch Hansen

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Open access 2025

Explainable AI Techniques for Intelligent Data Pipeline Optimization

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 · 0 citations
Open access 2025

AI-Driven Digital Twin Architecture for Healthcare Infrastructure Resilience

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 · 0 citations
Review Open access 2024

Synthetic Data Generation Models for Privacy-Safe AI

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 · 0 citations

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