Prediction of Risk Delay in Construction Projects Using a Hybrid Artificial Intelligence Model
TLDR
The developed hybrid RF-GA model revealed a good resultant performance in terms of accuracy, kappa and classification error, and indicated a robust and reliable technique for project delay prediction that is contributing to the construction project management monitoring and sustainability.Abstract:
Project delays are the major problems tackled by the construction sector owing to the associated complexity and uncertainty in the construction activities. Artificial Intelligence (AI) models have ...read more
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Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review
TL;DR: In this article , a systematic literature review of the literature focusing on the planning, design, and construction stages of the construction project lifecycle is presented, revealing that AI is particularly beneficial in the planning stage as the success of construction projects depends on accurate events, risks, and cost forecasting.
Journal ArticleDOI
Identifying and Assessing Sustainable Value Management Implementation Activities in Developing Countries: The Case of Egypt
Ahmed Farouk Kineber,Idris Othman,Ayodeji Emmanuel Oke,Nicholas Chileshe,Mohanad Kamil Buniya +4 more
TL;DR: In this paper, the authors assess value management (VM) implementation and its activities towards achieving sustainable building projects in Egypt and find that most respondents, 85.3%, did not adopt VM and did not receive any VM training.
Journal ArticleDOI
Assessment of Cloud Computing Success Factors for Sustainable Construction Industry: The Case of Nigeria
TL;DR: This study evaluates the cloud computing implementation and its Critical Success Factors (CSFs) towards ensuring sustainable construction projects in Nigeria and indicated that reliable data storage, performance as well as cost of accessibility and availability were the four most significant CSFs to cloud computing applications.
Journal ArticleDOI
Exploring the benefits of cloud computing for sustainable construction in Nigeria
Ayodeji Emmanuel Oke,Ahmed Farouk Kineber,Ibraheem Albukhari,Ibukun Oluwadara Famakin,Chukwuma Kingsley +4 more
TL;DR: In this article, the benefits of applying cloud computing for construction sustainability in Nigeria were examined using exploratory factor analysis (EFA) for the four construction maxims: construction productivity, back-office activities, design management and billing.
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Phytoremediation of Copper-Contaminated Water with Pistia stratiotes in Surface and Distilled Water
TL;DR: In this article, the ability of Pistia stratiotes to remove copper from distilled water representing a highly nutrient-deficient medium and natural surface water containing plant nutrients inherently was examined.
References
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