[HTML][HTML] Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities

AB Saka, LO Oyedele, LA Akanbi, SA Ganiyu… - Advanced Engineering …, 2023 - Elsevier
The idea of developing a system that can converse and understand human languages has
been around since the 1200 s. With the advancement in artificial intelligence (AI) …

[HTML][HTML] Digital technology for quality management in construction: A review and future research directions

H Luo, L Lin, K Chen, MF Antwi-Afari, L Chen - Developments in the Built …, 2022 - Elsevier
Significant developments in digital technologies can potentially provide managers and
engineers with the ability to improve the quality of the construction industry. Acknowledging …

Opportunities and adoption challenges of AI in the construction industry: A PRISMA review

M Regona, T Yigitcanlar, B Xia, RYM Li - Journal of open innovation …, 2022 - mdpi.com
Artificial intelligence (AI) is a powerful technology with a range of capabilities, which are
beginning to become apparent in all industries nowadays. The increased popularity of AI in …

Acceptance model of artificial intelligence (AI)-based technologies in construction firms: Applying the Technology Acceptance Model (TAM) in combination with the …

S Na, S Heo, S Han, Y Shin, Y Roh - Buildings, 2022 - mdpi.com
In the era of the Fourth Industrial Revolution, artificial intelligence (AI) is a core technology,
and AI-based applications are expanding in various fields. This research explored the …

An investigation for integration of deep learning and digital twins towards Construction 4.0

M Kor, I Yitmen, S Alizadehsalehi - Smart and Sustainable Built …, 2023 - emerald.com
Purpose The purpose of this paper is to investigate the potential integration of deep learning
(DL) and digital twins (DT), referred to as (DDT), to facilitate Construction 4.0 through an …

Investigating the role of artificial intelligence technologies in the construction industry using a Delphi-ANP-TOPSIS hybrid MCDM concept under a fuzzy environment

K Wang, Z Ying, SS Goswami, Y Yin, Y Zhao - Sustainability, 2023 - mdpi.com
The construction business is always changing, and with the introduction of artificial
intelligence (AI) technology it is undergoing substantial modifications in a variety of areas …

Artificial intelligence enabled project management: a systematic literature review

I Taboada, A Daneshpajouh, N Toledo, T de Vass - Applied Sciences, 2023 - mdpi.com
In the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies
such as artificial intelligence for more efficient and green human-centric production. In a …

[HTML][HTML] GPT models in construction industry: Opportunities, limitations, and a use case validation

A Saka, R Taiwo, N Saka, BA Salami, S Ajayi… - Developments in the …, 2023 - Elsevier
Abstract Large Language Models (LLMs) trained on large data sets came into prominence in
2018 after Google introduced BERT. Subsequently, different LLMs such as GPT models from …

Deep learning-based data analytics for safety in construction

J Liu, H Luo, H Liu - Automation in construction, 2022 - Elsevier
Deep learning has been acknowledged as being robust in managing and controlling the
performance of construction safety. However, there is an absence of state-of-the-art review …

Deep-learning-based visual data analytics for smart construction management

A Pal, SH Hsieh - Automation in Construction, 2021 - Elsevier
Visual data captured at construction sites is a rich source of information for the day-to-day
operation of construction projects. The development of deep-learning-based methods has …