New Insights on the Intelligent Preservation of Architectural Heritage
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Materials, and Repair & Renovation".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 783
Special Issue Editors
Interests: architectural heritage; preventive protection; digital twins; artificial intelligence; quantum computing; augmented reality interactions; structural analysis; intelligent monitoring; restoration and defect repair
Interests: 3D modeling of historical buildings; point cloud data processing; 3D structural deformation monitoring system; LiDAR scanning; multi-source 3D reconstruction and integration; structural health monitoring platform for buildings
Special Issue Information
Dear Colleagues,
Cultural heritage, as a living testament to history, embodies the civilization of a nation, connecting us to past memories while deeply rooted in our identity and collective consciousness.
Cultural heritage holds irreplaceable value, and the work of preservation and restoration is receiving increasing attention. To address the complex demands of heritage conservation, interdisciplinary collaboration is essential, drawing on expertise and skills across different fields. With the continuous advancement of new artificial intelligence technologies, we now have innovative tools and methods for the structural analysis, monitoring, and conservation of cultural heritage. These interdisciplinary perspectives and innovations are opening up new pathways for the protection of cultural heritage, enabling us to more effectively tackle various challenges in this field.
We invite authors to contribute original research, theoretical and experimental studies, case studies, and comprehensive review papers. Topics for this Special Issue include, but are not limited to:
- Applications of digital twins in the preventive conservation of architectural heritage;
- Quantum computing-driven intelligent monitoring and analysis of architectural heritage;
- Intelligent monitoring and structural analysis methods for industrial heritage;
- Innovative applications of artificial intelligence and virtual reality in linear heritage conservation;
- Liquid neural networks for behavioral prediction in architectural heritage.
Prof. Dr. Ming Guo
Dr. Guoli Wang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- architectural heritage
- preventive protection
- digital twins
- artificial intelligence
- quantum computing
- augmented reality interactions
- intelligent monitoring
- restoration and defect repair
- structural analysis
- liquid neural networks
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