Roles of artificial intelligence in construction engineering and management: A critical review and future trends

Y Pan, L Zhang - Automation in Construction, 2021 - Elsevier
With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …

[HTML][HTML] Deep learning in the construction industry: A review of present status and future innovations

TD Akinosho, LO Oyedele, M Bilal, AO Ajayi… - Journal of Building …, 2020 - Elsevier
The construction industry is known to be overwhelmed with resource planning, risk
management and logistic challenges which often result in design defects, project delivery …

Edge computing on IoT for machine signal processing and fault diagnosis: A review

S Lu, J Lu, K An, X Wang, Q He - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …

[HTML][HTML] Machine learning in construction: From shallow to deep learning

Y Xu, Y Zhou, P Sekula, L Ding - Developments in the built environment, 2021 - Elsevier
The development of artificial intelligence technology is currently bringing about new
opportunities in construction. Machine learning is a major area of interest within the field of …

Deep learning methods for object detection in smart manufacturing: A survey

HM Ahmad, A Rahimi - Journal of Manufacturing Systems, 2022 - Elsevier
Object detection for industrial applications refers to analyzing the captured images and
videos and finding the relationship between the detected objects for better optimization, data …

Classification and analysis of deep learning applications in construction: A systematic literature review

R Khallaf, M Khallaf - Automation in construction, 2021 - Elsevier
In recent years, the construction industry has experienced an expansion in the multitude of
projects and emergent information. With the advent of deep learning, new opportunities …

[HTML][HTML] Fast personal protective equipment detection for real construction sites using deep learning approaches

Z Wang, Y Wu, L Yang, A Thirunavukarasu, C Evison… - Sensors, 2021 - mdpi.com
The existing deep learning-based Personal Protective Equipment (PPE) detectors can only
detect limited types of PPE and their performance needs to be improved, particularly for their …

Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

L Alzubaidi, A Al-Sabaawi, J Bai… - … Journal of Intelligent …, 2023 - Wiley Online Library
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

Deep learning-based automatic safety helmet detection system for construction safety

A Hayat, F Morgado-Dias - Applied Sciences, 2022 - mdpi.com
Worker safety at construction sites is a growing concern for many construction industries.
Wearing safety helmets can reduce injuries to workers at construction sites, but due to …

Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers

K Koc, Ö Ekmekcioğlu, AP Gurgun - Automation in Construction, 2021 - Elsevier
The construction industry is among the riskiest industries around the world. Hence, the
preliminary studies exploring the consequences of occupational accidents have received …