… of the applications of deep learning techniques within the construction industry. This review
… of deep learning to numerous challenges in the industry. Limitations of deep learning such …

… deep learning to prevalent construction challenges like structural health monitoring, construction
… of the applications of deep learning techniques within the construction industry. This …

… paper is to investigate how a deep learning approach can impact the construction industry.
… construction industry workers have had in the topic of sustainability; and if a deep learning …

… two studies show the potential of applying image segmentation combined with non-image
data, which may be a new direction in applying deep learning in the construction industry. …

… construction industry than originally known. New architectures such as transformer networks
have not been explored fully in construction … to solely focus on construction, excluding areas …

… been the most widely used deep-learning methods in the construction industry. The most …
in the construction industry using deep-learning methods include classification of construction …

… of interest in the construction industry. This has spurred from deep learning's benefits in many
… Therefore, this paper systematically identifies research on deep learning in construction to …

… popular deep learning methods … construction industry. For the first time, we address a critical
challenge in this domain—the scarcity of industry-specific datasets for training deep learning …

… In Section 5, we review the existing deep learning applications for safety in construction
industry to provide a contextual backdrop of the research. Finally, the research challenges, …

… Applications of AI in the building construction industry have been divided into seven segments
in this paper. These segments are architectural design and visualization; material design …