METRIC SURVEY AND BIM TECHNOLOGIES TO RECORD DECAY CONDITIONS

15 citations as recorded by crossref.

1. Procedures for Condition Mapping Using 360° Images L. Barazzetti et al.
2. Digital Twins. HBIM information repositories to centralize knowledge and interdisciplinary management of architectural heritage L. Cortés Meseguer & J. García Valldecabres
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4. Fusión de datos multisensor para el estudio de edificaciones del patrimonio histórico: voxelización y deep learning J. Raimundo-Valdecantos
5. Enhancing Building Archaeology: Drawing, UAV Photogrammetry and Scan-to-BIM-to-VR Process of Ancient Roman Ruins C. Stanga et al.
6. HBIM and Information Management for Knowledge and Conservation of Architectural Heritage: A Review M. Parente et al.
7. Deep Learning Enhanced Multisensor Data Fusion for Building Assessment Using Multispectral Voxels and Self-Organizing Maps J. Raimundo et al.
8. Desde la representación hasta el modelo digital HBIM de un edificio histórico complejo G. Bertacchi et al.
9. Parametric Processes for the Implementation of HBIM—Visual Programming Language for the Digitisation of the Index of Masonry Quality M. Calvano et al.
10. Virtual Representations of Cultural Heritage: Sharable and Implementable Case Study to Be Enjoyed and Maintained by the Community C. Bolognesi & F. Fiorillo
11. Semi-automatic classification of digital heritage on the Aïoli open source 2D/3D annotation platform via machine learning and deep learning V. Croce et al.
12. Digital Twin and Cloud BIM-XR Platform Development: From Scan-to-BIM-to-DT Process to a 4D Multi-User Live App to Improve Building Comfort, Efficiency and Costs F. Banfi et al.
13. From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning V. Croce et al.
14. Methodology for an HBIM workflow focused on the representation of construction systems of built heritage L. Martinelli et al.
15. The need to implement Cultural Heritage Master Plans through the Building Information Modelling methodology J. Liu et al.