Classification and application of deep learning in construction engineering and management – A systematic literature review and future innovations
Authors:
- Qingze LiQLQingze Li
- Yang YangYYYang Yang
- Gang YaoGYGang Yao
- Fujia WeiFWFujia Wei
- Rui LiRLRui Li
- Mingtao ZhuMZMingtao Zhu
- Huiwen HouHHHuiwen Hou
Open Access
- 28 November 2024
- journal article
- review article
- Published by Elsevier in Case Studies in Construction Materials
- Vol. 21
Abstract
No abstract availableKeywords
This publication has 130 references indexed in Scilit:
- Base‐isolation design of shear wall structures using physics‐rule‐co‐guided self‐supervised generative adversarial networksEarthquake Engineering & Structural Dynamics, 2023
- Fatigue and Human Performance: An Updated FrameworkSports Medicine, 2022
- Artificial Intelligence, Machine Learning, and Deep Learning in Structural Engineering: A Scientometrics Review of Trends and Best PracticesArchives of Computational Methods in Engineering, 2022
- Active partial label learning based on adaptive sample selectionInternational Journal of Machine Learning and Cybernetics, 2022
- Convolutional long short-term memory model for recognizing construction workers’ postures from wearable inertial measurement unitsAdvanced Engineering Informatics, 2020
- Times-series data augmentation and deep learning for construction equipment activity recognitionAdvanced Engineering Informatics, 2019
- Convolutional neural network: Deep learning-based classification of building quality problemsAdvanced Engineering Informatics, 2019
- A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural networkAdvanced Engineering Informatics, 2019
- Deep-learning neural-network architectures and methods: Using component-based models in building-design energy predictionAdvanced Engineering Informatics, 2018
- Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approachAdvanced Engineering Informatics, 2018