# Automation in Construction

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/automation-in-construction/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0926-5805 |
| ISSNs | 0926-5805,1872-7891 |
| OpenAlex ID | https://openalex.org/S172073041 |
| Publisher | Elsevier BV |

## Journal papers

Showing 12 of 20.

- [A critical review of the use of 3-D printing in the construction industry](https://scholariq.org/papers/a-critical-review-of-the-use-of-3-d-printing-in-the-construction-industry/)
- [A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory](https://scholariq.org/papers/a-deep-hybrid-learning-model-to-detect-unsafe-behavior-integrating-convolution/)
- [Falls from heights: A computer vision-based approach for safety harness detection](https://scholariq.org/papers/falls-from-heights-a-computer-vision-based-approach-for-safety-harness-detection/)
- [Developing a risk assessment model for PPP projects in China — A fuzzy synthetic evaluation approach](https://scholariq.org/papers/developing-a-risk-assessment-model-for-ppp-projects-in-china-a-fuzzy-synthetic/)
- [A benefits realization management building information modeling framework for asset owners](https://scholariq.org/papers/a-benefits-realization-management-building-information-modeling-framework-for/)
- [Natural language processing for smart construction: Current status and future directions](https://scholariq.org/papers/natural-language-processing-for-smart-construction-current-status-and-future/)
- [Underground sewer pipe condition assessment based on convolutional neural networks](https://scholariq.org/papers/underground-sewer-pipe-condition-assessment-based-on-convolutional-neural/)
- [Impact assessment of reinforced learning methods on construction workers' fall risk behavior using virtual reality](https://scholariq.org/papers/impact-assessment-of-reinforced-learning-methods-on-construction-workers-fall/)
- [Integrating mobile Building Information Modelling and Augmented Reality systems: An experimental study](https://scholariq.org/papers/integrating-mobile-building-information-modelling-and-augmented-reality-systems/)
- [The ‘how’ of benefits management for digital technology: From engineering to asset management](https://scholariq.org/papers/the-how-of-benefits-management-for-digital-technology-from-engineering-to-asset/)
- [Development of an object model for automated compliance checking](https://scholariq.org/papers/development-of-an-object-model-for-automated-compliance-checking/)
- [The effect of noise content and level on cognitive performance measured by electroencephalography (EEG)](https://scholariq.org/papers/the-effect-of-noise-content-and-level-on-cognitive-performance-measured-by/)

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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.