# Material recognition for construction quality monitoring using deep learning methods

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/material-recognition-for-construction-quality-monitoring-using-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hadi Mahamivanan,Navid Ghassemi,Mohammad Tayarani Darbandy,Afshin Shoeibi,Sadiq Hussain,Farnad Nasirzadeh,Roohallah Alizadehsani,Darius Nahavandi,Abbas Khosravi,Saeid Nahavandi |
| Citations | 9 |
| DOI | 10.1108/ci-04-2022-0074 |
| Fields | Earth and Planetary Sciences,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://figshare.com/articles/journal_contribution/Material_recognition_for_construction_quality_monitoring_using_deep_learning_methods/23812023 |
| OpenAlex ID | https://openalex.org/W4383877698 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Hadi Mahamivanan](https://scholariq.org/researchers/hadi-mahamivanan/)

## Paper journal

- [Construction Innovation](https://scholariq.org/journals/construction-innovation/)

## Paper primary topic

- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)

## Paper topics

- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [3D Surveying and Cultural Heritage](https://scholariq.org/topics/3d-surveying-and-cultural-heritage/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.