ArXiv paper proposes a framework for cultural heritage conservation integrating IoT sensors, AI, and Physics-Informed Neural Networks (PINNs). Combines scientific machine learning with Reduced Order Methods and Finite Element analysis for 3D asset monitoring and predictive maintenance.
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Integrating Artificial Intelligence, Physics, and Internet of Things: A Framework for Cultural Heritage Conservation
Physics-Informed Neural Networks paired with IoT sensors enable predictive maintenance of cultural heritage through real-time 3D asset monitoring and reduced-order physics simulation.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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