Open Access
| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 04027 | |
| Number of page(s) | 5 | |
| Section | Computer Vision, Robotic Systems, and Intelligent Control | |
| DOI | https://doi.org/10.1051/itmconf/20268404027 | |
| Published online | 06 April 2026 | |
- W. Lu, et al. Computer vision-based construction and demolition waste identification. Autom. Constr. (2025) [Google Scholar]
- A. Abbasi, et al. Roof material detection using aerial imagery and deep learning. Sustain. Cities Soc. (2024) [Google Scholar]
- M. Toğaçar, et al. Deep learning-based waste classification using autoencoder and CNN. Appl. Sci. (2024) [Google Scholar]
- R. Magdy, K.A. Hamdy, Y.A.S. Essawy. Real-time progress monitoring of bricklaying using computer vision. Buildings, 15, 2456 (2025) [Google Scholar]
- B.O. Santos, J. Valença. Relevant channel selection in hyperspectral imaging to enhance crack segmentation in historic concrete buildings. Infrared Phys. Technol., 150, 105958 (2025) [Google Scholar]
- D.Rajaratnam, R.A. Stewart, T. Liu, A.S. Vieira, M.E.U. Zannat. Computer vision-based approach for autonomous estimation of building envelope material stock. Sustain. Cities Soc., 136, 107049 (2026) [Google Scholar]
- M. Farshadfar, et al. AI and machine learning for construction waste management: a review. Sustainability (2025) [Google Scholar]
- R. Moya-Jiménez, A. Goyes-Balladares, G. Moya-Jiménez, et al. Application of computer vision and parametric design algorithms for the reuse of construction materials. Buildings, 16, 184 (2026) [Google Scholar]
- X. Liu, et al. Artificial intelligence-based construction waste recognition and sorting. J. Clean. Prod. (2025) [Google Scholar]
- Y. Dong, et al. Boundary-aware transformer for construction waste segmentation. Autom. Constr. (2025) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.