Deep learning modelling techniques: current progress, applications, advantages, and challenges

SF Ahmed, MSB Alam, M Hassan, MR Rozbu… - Artificial Intelligence …, 2023 - Springer
Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

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 …

[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 …

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 …

Real-time mixed reality-based visual warning for construction workforce safety

S Wu, L Hou, GK Zhang, H Chen - Automation in Construction, 2022 - Elsevier
Spatial locations of personnel, equipment, and materials are constantly changing as
construction projects progress. The dynamic nature of the construction industry affects …

Deep learning for site safety: Real-time detection of personal protective equipment

ND Nath, AH Behzadan, SG Paal - Automation in construction, 2020 - Elsevier
The leading causes of construction fatalities include traumatic brain injuries (resulted from
fall and electrocution) and collisions (resulted from struck by objects). As a preventive step …

A hybrid CNN-LSTM model for forecasting particulate matter (PM2. 5)

T Li, M Hua, XU Wu - Ieee Access, 2020 - ieeexplore.ieee.org
PM2. 5 is one of the most important pollutants related to air quality, and the increase of its
concentration will aggravate the threat to people's health. Therefore, the prediction of …