AUTOMATIC DAMAGE DETECTION OF STONE CULTURAL PROPERTY BASED ON DEEP LEARNING ALGORITHM

21 citations as recorded by crossref.

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3. An Analysis of Research Trends for Using Artificial Intelligence in Cultural Heritage F. Gîrbacia
4. Automated Surface Crack Detection in Historical Constructions with Various Materials Using Deep Learning-Based YOLO Network N. Karimi et al.
5. New AI challenges for cultural heritage protection: A general overview F. Colace et al.
6. Automatic recognition of craquelure and paint loss on polychrome paintings of the Palace Museum using improved U-Net Q. Yuan et al.
7. Deterioration Extraction for Ancient Murals Via a Decision Tree with a Deterioration Index K. Qiao et al.
8. Transforming Architectural Digitisation: Advancements in AI-Driven 3D Reality-Based Modelling K. Zhang & F. Fassi
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13. Artificial intelligence-assisted visual inspection for cultural heritage: State-of-the-art review M. Mishra & P. Lourenço
14. A deep learning-based pipeline for the conservation assessment of bindings in archives and libraries V. Lee-Gouet et al.
15. PrecisionGAN: enhanced image-to-image translation for preserving structural integrity in skeletonized images M. Ahmed et al.
16. Artificial intelligence-based visual inspection system for structural health monitoring of cultural heritage M. Mishra et al.
17. A comprehensive review of deep learning methods in damage classification, detection, and segmentation of cultural heritage sites A. ElBehairy et al.
18. An automatic annotation method for colored 3D triangular meshes oriented to cultural relic deterioration segmentation C. Hu et al.
19. Digital Toolkit to Assist the Interpretation of Traditional Masonry Construction A. Forster et al.
20. Machine learning assisted real-time acoustic monitoring of laser cleaning in Heritage conservation G. Barmparis et al.
21. Applications of Artificial Intelligence and Machine Learning in the Preservation and Analysis of Heritage Structures: A Comprehensive Review H. Sharma