dailyai.report

The paper proposes a framework that fuses IoT and AI for cultural heritage conservation. At its core, the design centers on Physics‑Informed Neural Networks (PINNs) that embed physical laws into predictive models. It processes 3D scans, runs simulations, and flags degradation risks. Practitioners deploy the framework on sensor networks, gaining actionable insights.