AI-Driven Conservation Framework Integrating Security, Environmental Performance, and Human Comfort in Sacred Spaces
This document represents the final conference-submitted version of our paper titled AI-Driven Conservation Framework Integrating Security, Environmental Performance, and Human Comfort in Sacred Spaces. The paper has been accepted for presentation at the International Conference on Architectural Conservation, Heritage Management and Environment (ICACHME-25), held in Mecca, Saudi Arabia, on 29–30 November 2025, organized by the Association for Scientific and Academic Research (ASAR). The work introduces an integrated AI-driven framework designed to enhance conservation strategies for sacred spaces by combining security, environmental performance, and human comfort within a cohesive methodological structure.
Institutions
- Universidade Federal do Rio de Janeiro (BR)
- Cairo University (EG)
- Imagineering (Japan) (JP)
- Institut des Maladies Génétiques Imagine (FR)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-23
- DOI
- https://doi.org/10.5281/zenodo.17693298
- Primary Topic
- 3D Surveying and Cultural Heritage
- Type
- article
- Field-Weighted Citation Impact
- 0.00