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 …

Application of deep learning algorithms in geotechnical engineering: a short critical review

W Zhang, H Li, Y Li, H Liu, Y Chen, X Ding - Artificial Intelligence Review, 2021 - Springer
With the advent of big data era, deep learning (DL) has become an essential research
subject in the field of artificial intelligence (AI). DL algorithms are characterized with powerful …

Computer vision applications in construction: Current state, opportunities & challenges

S Paneru, I Jeelani - Automation in Construction, 2021 - Elsevier
Thousands of images and videos are collected from construction projects during
construction. These contain valuable data that, if harnessed efficiently, can help automate or …

Computer vision techniques in construction: a critical review

S Xu, J Wang, W Shou, T Ngo, AM Sadick… - … Methods in Engineering, 2021 - Springer
Computer vision has been gaining interest in a wide range of research areas in recent
years, from medical to industrial robotics. The architecture, engineering and construction …

Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review

B Jena, S Saxena, GK Nayak, L Saba, N Sharma… - Computers in Biology …, 2021 - Elsevier
Background Artificial intelligence (AI) has served humanity in many applications since its
inception. Currently, it dominates the imaging field—in particular, image classification. The …

Adversarial machine learning in image classification: A survey toward the defender's perspective

GR Machado, E Silva, RR Goldschmidt - ACM Computing Surveys …, 2021 - dl.acm.org
Deep Learning algorithms have achieved state-of-the-art performance for Image
Classification. For this reason, they have been used even in security-critical applications …

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 …

Computer vision technologies for safety science and management in construction: A critical review and future research directions

BHW Guo, Y Zou, Y Fang, YM Goh, PXW Zou - Safety science, 2021 - Elsevier
Recent years have seen growing interests in developing and applying computer vision
technologies to solve safety problems in the construction industry. Despite the technological …

Hybrid MPSO-CNN: Multi-level particle swarm optimized hyperparameters of convolutional neural network

P Singh, S Chaudhury, BK Panigrahi - Swarm and Evolutionary …, 2021 - Elsevier
Recent advances in swarm inspired optimization algorithms have shown its extensive
acceptance in solving a wide range of different real-world problems. Particle Swarm …

The classification of construction waste material using a deep convolutional neural network

P Davis, F Aziz, MT Newaz, W Sher, L Simon - Automation in construction, 2021 - Elsevier
The management of Construction and Demolition Waste (C&DW) is complex and adds
significantly to the overall life cycle cost of projects. On site waste sorting using technologies …