Peng-Kun Yan

Physically verifiable intelligent assessment and restoration decision-making for cultural heritage using multimodal knowledge graphs

This approach effectively mitigates prediction biases inherent in purely data-driven models, reducing the root mean square error for long-term crack expansion prediction to 0.15 mm and constructing a semantically and physically coupled ontology knowledge graph.