[HTML][HTML] Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges

SO Abioye, LO Oyedele, L Akanbi, A Ajayi… - Journal of Building …, 2021 - Elsevier
The growth of the construction industry is severely limited by the myriad complex challenges
it faces such as cost and time overruns, health and safety, productivity and labour shortages …

Artificial intelligence as an enabler of quick and effective production repurposing: an exploratory review and future research propositions

F Naz, A Kumar, R Agrawal… - … Planning & Control, 2023 - Taylor & Francis
The outbreak of Covid-19 created disruptions in manufacturing operations. One of the most
serious negative impacts is the shortage of critical medical supplies. Manufacturing firms …

Fundamental pillars for industry 4.0 development: implementation framework and challenges in manufacturing environment

M Singh, R Goyat, R Panwar - The TQM Journal, 2023 - emerald.com
Purpose At the present time, Industry 4.0 has proven its effectiveness and significance in
automation and data exchange within industries across different sectors worldwide. In the …

Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach

A Bendaouia, S Qassimi, A Boussetta… - Computers & Chemical …, 2024 - Elsevier
In the mining industry, accurate monitoring of the elemental composition in the flotation froth
is crucial for efficient minerals separation. The hybrid deep learning algorithms offer …

A systematic review of the BIM in construction: From smart building management to interoperability of BIM & AI

A Heidari, Y Peyvastehgar… - Architectural Science …, 2024 - Taylor & Francis
The main purpose of this study is to provide insight into the trend of AI-BIM integration, which
has been studied by scholars around the world. To begin, a systematic review and …

Deep-learning-enabled predictive maintenance in industrial internet of things: methods, applications, and challenges

H Wang, W Zhang, D Yang, Y Xiang - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
With the great evolution of human society from the information era to the smart automation
era, intelligent production and maintenance have become the core orientation of Industry …

Leveraging the role of dynamic reconfigurable antennas in viewpoint of industry 4.0 and beyond

A Jabbar, MA Jamshed, Q Abbasi, MA Imran… - Research, 2023 - spj.science.org
Industry 4.0 is a digital paradigm that refers to the integration of cutting-edge computing and
digital technologies into global industries because of which the state of manufacturing …

[HTML][HTML] Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence

F Ahmed, S Abbas, A Athar, T Shahzad, WA Khan… - Scientific Reports, 2024 - nature.com
A kidney stone is a solid formation that can lead to kidney failure, severe pain, and reduced
quality of life from urinary system blockages. While medical experts can interpret kidney …

Deep learning based abnormal behavior detection for elderly healthcare using consumer network cameras

Y Zhang, W Liang, X Yuan, S Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Abnormal behavior has become the leading cause of injuries among the elderly in the
modern society. Elderly anomaly is a widespread concern in both academic and industrial …

[HTML][HTML] Mapping Two Decades of AI in Construction Research: A Scientometric Analysis from the Sustainability and Construction Phases Lenses

M Regona, T Yigitcanlar, CKH Hon, M Teo - Buildings, 2023 - mdpi.com
The construction industry plays a vital role in the urbanization process and global economy,
and there is a growing interest in utilizing artificial intelligence (AI) technologies to improve …