Deep learning in the construction industry: A review of present status and future innovations
University of the West of England · Brunel University of London
Abstract
The construction industry is known to be overwhelmed with resource planning, risk management and logistic challenges which often result in design defects, project delivery delays, cost overruns and contractual disputes. These challenges have instigated research in the application of advanced machine learning algorithms such as deep learning to help with diagnostic and prescriptive analysis of causes and preventive measures. However, the publicity created by tech firms like Google, Facebook and Amazon about Artificial Intelligence and applications to unstructured data is not the end of the field. There abound many applications of deep learning, particularly within the construction sector in areas such as site…
Citation impact
- FWCI
- 31.48
- Percentile
- 100%
- References
- 157
Authors
7Topics & keywords
- Deep learning
- Publicity
- Artificial intelligence
- Best practice
- Computer science
- Data science
- Engineering
- Risk analysis (engineering)
- Industry, innovation and infrastructure