Big data in construction: current applications and future opportunities
Big data have become an integral part of various research fields due to the rapid
advancements in the digital technologies available for dealing with data. The construction …
advancements in the digital technologies available for dealing with data. The construction …
Generative ai in the construction industry: Opportunities & challenges
In the last decade, despite rapid advancements in artificial intelligence (AI) transforming
many industry practices, construction largely lags in adoption. Recently, the emergence and …
many industry practices, construction largely lags in adoption. Recently, the emergence and …
[HTML][HTML] Impediments in BIM implementation for the risk management of tall buildings
This study background highlights the increasing need for effective management of risks in
tall buildings due to their complexity and potential hazards. BIM has been accepted as a …
tall buildings due to their complexity and potential hazards. BIM has been accepted as a …
Decentralizing construction AI applications using blockchain technology
Abstract Decentralizing the Artificial Intelligence (AI) applications is deemed the next wave of
Blockchain Technology (BT) in the construction industry. Most of previous research studies …
Blockchain Technology (BT) in the construction industry. Most of previous research studies …
Machine learning in project analytics: a data-driven framework and case study
The analytic procedures incorporated to facilitate the delivery of projects are often referred to
as project analytics. Existing techniques focus on retrospective reporting and understanding …
as project analytics. Existing techniques focus on retrospective reporting and understanding …
Research trends on machine learning in construction management: a scientometric analysis
Abstract Machine learning plays a vital role in construction industry which could make
improve project's safety, productivity, and quality. Many studies have attempted to explore …
improve project's safety, productivity, and quality. Many studies have attempted to explore …
Cost overrun risk assessment and prediction in construction projects: A Bayesian network classifier approach
Cost overrun risks are declared to be dynamic and interdependent. Ignoring the relationship
between cost overrun risks during the risk assessment process is one of the primary reasons …
between cost overrun risks during the risk assessment process is one of the primary reasons …
Investigation of project delays: Towards a sustainable construction industry
The construction industry is one of the key industries for any country. It has been observed
that this industry is suffering from sustainable solutions during project execution. It is evident …
that this industry is suffering from sustainable solutions during project execution. It is evident …
Predictive risk modeling for major transportation projects using historical data
Most of the construction practices in the field of risk identification focus on the expertise,
views, and judgments of subject matter experts. While the conventional expert-based …
views, and judgments of subject matter experts. While the conventional expert-based …
Opportunities and challenges of generative ai in construction industry: Focusing on adoption of text-based models
In the last decade, despite rapid advancements in artificial intelligence (AI) transforming
many industry practices, construction largely lags in adoption. Recently, the emergence and …
many industry practices, construction largely lags in adoption. Recently, the emergence and …