Emotional Maintenance: A Digital Model to Support Maintenance Decisions in Buildings’ Coatings
Author:
Affiliation:
1. CERIS, IST-ID, University of Lisbon, 1049-001 Lisbon, Portugal
2. CESI, École D’Ingénieurs, 92000 Nanterre, France
3. Deloitte, Belo Horizonte 30112-010, Brazil
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/53/1/53/pdf
Reference8 articles.
1. Aikivuori, A.M. (June, January 30). Critical loss of performance—What fails before durability. Proceedings of the 8th International Conference on Durability of Building Materials and Components, Vancouver, BC, Canada.
2. Silva, A., de Brito, J., Thomsen, A., Straub, A., Prieto, A.J., and Lacasse, M.A. (2022). Causal Effects between Criteria That Establish the End of Service Life of Buildings and Components. Buildings, 12.
3. Torres-Gonzáles, M., Valença, J., O-Santos, B., Silva, A., and Mendes, M.P. (2023). StainView: A Fast and Reliable Method for Mapping Stains in Facades Using Image Classification in HSV and CIELab Colour Space. Remote Sens., 15.
4. MultiSpec (2022, March 15). A Freeware Multispectral Image Data Analysis System. Available online: https://github.com/larrybiehl/MultiSpec.
5. Damage assessment on concrete surfaces using multi-spectral image analysis;Constr. Build. Mater.,2013
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