The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook

MA Hariri-Ardebili, G Mahdavi, LK Nuss… - Engineering Applications of …, 2023 - Elsevier
This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …

Recent advancement of concrete dam health monitoring technology: A systematic literature review

G Prakash, R Dugalam, M Barbosh, A Sadhu - Structures, 2022 - Elsevier
The health monitoring of dams has become a topic of paramount importance to maintain the
sustainability and resiliency of our society. The dam health monitoring (DHM) models …

Bridge infrastructure asset management system: Comparative computational machine learning approach for evaluating and predicting deck deterioration conditions

R Assaad, IH El-Adaway - Journal of Infrastructure Systems, 2020 - ascelibrary.org
Bridge infrastructure asset management system is a prevailing approach toward having an
effective and efficient procedure for monitoring bridges through their different development …

Automatic identification of causal factors from fall-related accident investigation reports using machine learning and ensemble learning approaches

H Qi, Z Zhou, J Irizarry, D Lin, H Zhang… - Journal of Management …, 2024 - ascelibrary.org
To enhance the performance of learning from past fall-related accidents, this study
developed an innovative framework for automatically extracting every individual causal …

Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research …

Z Zhou, L Wei, J Yuan, J Cui, Z Zhang, W Zhuo… - Advanced Engineering …, 2023 - Elsevier
Although substantial progress in safety management performance has been made in the
construction industry, continuing fatalities and injuries at workplaces hinder sustainable …

Impact of dynamic workforce and workplace variables on the productivity of the construction industry: New gross construction productivity indicator

R Assaad, IH El-Adaway - Journal of management in engineering, 2021 - ascelibrary.org
Construction productivity is the industry's predominant determinant of performance. Although
the construction industry periodically provides large amount of data, existing studies have …

Predicting the price of crude oil and its fluctuations using computational econometrics: deep learning, LSTM, and convolutional neural networks

RH Assaad, S Fayek - Econometric Research in Finance, 2021 - erfin.org
There has been a renewed interest in accurately forecasting the price of crude oil and its
fluctuations. That said, this paper aims to study whether the price of crude oil in the United …

Comparing the impact of learning in bidding decision-making processes using algorithmic game theory

R Assaad, MO Ahmed, IH El-Adaway… - … of management in …, 2021 - ascelibrary.org
Although previous research efforts have developed models to assist contractors in different
bidding decisions, there is a lack of research work that investigates the impact of integrating …

Modeling and prediction of temporal biogeomechanical properties using novel machine learning approach

O Kolawole, RH Assaad - Rock Mechanics and Rock Engineering, 2023 - Springer
In biogeomechanics, which describes the mechanical responses to microbial-rock
interactions and its succeeding alterations, there is complexity in the estimation and …

Development of an internet-of-things-based technology system for construction safety hazard prevention

X Wang, C Liu, X Song, X Cui - Journal of Management in …, 2022 - ascelibrary.org
The current state of the art and applications of Internet-of-Things (IoT) in construction safety
management were summarized for both academic and industrial practice based on an …