Concrete forensic analysis using deep learning-based coarse aggregate segmentation
Article Properties
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LanguageEnglish
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DOI (url)
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Journal
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Indian UGC (journal)
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Refrences73
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Mati Ullah
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Junaid Mir
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Syed Sameed Husain
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Muhammad Laiq Ur Rahman Shahid
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Afaq Ahmad
Cite
Ullah, Mati, et al. “Concrete Forensic Analysis Using Deep Learning-Based Coarse Aggregate Segmentation”. Automation in Construction, vol. 162, p. 105372, https://doi.org/10.1016/j.autcon.2024.105372.
Ullah, M., Mir, J., Husain, S. S., Shahid, M. L. U. R., & Ahmad, A. (n.d.). Concrete forensic analysis using deep learning-based coarse aggregate segmentation. Automation in Construction, 162, 105372. https://doi.org/10.1016/j.autcon.2024.105372
Ullah, Mati, Junaid Mir, Syed Sameed Husain, Muhammad Laiq Ur Rahman Shahid, and Afaq Ahmad. “Concrete Forensic Analysis Using Deep Learning-Based Coarse Aggregate Segmentation”. Automation in Construction 162 (n.d.): 105372. https://doi.org/10.1016/j.autcon.2024.105372.
1.
Ullah M, Mir J, Husain SS, Shahid MLUR, Ahmad A. Concrete forensic analysis using deep learning-based coarse aggregate segmentation. Automation in Construction. 162:105372.
Journal Categories
Technology
Building construction
Architectural engineering
Structural engineering of buildings
Technology
Engineering (General)
Civil engineering (General)
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Assessment of Convolutional Neural Network Pre-Trained Models for Detection and Orientation of Cracks | Materials |
| 12 | 2023 |
Civil infrastructure defect assessment using pixel-wise segmentation based on deep learning | Journal of Civil Structural Health Monitoring |
| 4 | 2023 |
| A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D Images | Applied Artificial Intelligence |
| 53 | 2022 |
| Automatic stereo vision-based inspection system for particle shape analysis of coarse aggregates | Journal of Computing in Civil Engineering |
| 2022 | |
Automated Segmentation and Morphological Analyses of Stockpile Aggregate Images using Deep Convolutional Neural Networks | Transportation Research Record: Journal of the Transportation Research Board |
| 10 | 2020 |
Refrences Analysis
The category
Technology: Engineering (General). Civil engineering (General) 47
is the most frequently represented among the references in this article. It primarily includes studies from Construction and Building Materials and Automation in Construction. The chart below illustrates the number of referenced publications per year.