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All Outputs (6)

Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities (2023)
Journal Article
Saka, A. B., Oyedele, L. O., Akanbi, L. A., Ganiyu, S. A., Chan, D. W., & Bello, S. A. (2023). Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities. Advanced Engineering Informatics, 55, 101869. https://doi.org/10.1016/j.aei.2022.101869

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), Conversational AI came of age in 2010 with the launch of Apple's Siri. Conversati... Read More about Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities.

Internet of things and machine learning techniques in poultry health and welfare management: A systematic literature review (2022)
Journal Article
Ojo, R. O., Ajayi, A. O., Owolabi, H. A., Oyedele, L. O., & Akanbi, L. A. (2022). Internet of things and machine learning techniques in poultry health and welfare management: A systematic literature review. Computers and Electronics in Agriculture, 200, Article 107266. https://doi.org/10.1016/j.compag.2022.107266

The advent of digital technologies has brought substantial improvements in various domains. This article provides a comprehensive review of research emphasizing AI-enabled IoT applications in poultry health and welfare management. This study focused... Read More about Internet of things and machine learning techniques in poultry health and welfare management: A systematic literature review.

Cloud computing in construction industry: Use cases, benefits and challenges (2020)
Journal Article
Bello, S. A., Oyedele, L. O., Akinade, O. O., Bilal, M., Davila Delgado, J. M., Akanbi, L. A., …Owolabi, H. A. (2021). Cloud computing in construction industry: Use cases, benefits and challenges. Automation in Construction, 122, Article 103441. https://doi.org/10.1016/j.autcon.2020.103441

Cloud computing technologies have revolutionised several industries (such as aerospace, manufacturing, automobile, retail, etc.) for several years. Although the construction industry is well placed to also leverage these technologies for competitive... Read More about Cloud computing in construction industry: Use cases, benefits and challenges.

Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)
Journal Article
Alaka, H. A., Oyedele, L., Owolabi, H. A., Kumar, V., Ajayi, S. O., Akinade, O., & Bilal, M. (2018). Systematic review of bankruptcy prediction models: Towards a framework for tool selection. Expert Systems with Applications, 94, 164-184. https://doi.org/10.1016/j.eswa.2017.10.040

© 2017 Elsevier Ltd The bankruptcy prediction research domain continues to evolve with many new different predictive models developed using various tools. Yet many of the tools are used with the wrong data conditions or for the wrong situation. Using... Read More about Systematic review of bankruptcy prediction models: Towards a framework for tool selection.

Attributes of design for construction waste minimization: A case study of waste-to-energy project (2017)
Journal Article
Ajayi, S. O., Oyedele, L. O., Akinade, O. O., Bilal, M., Alaka, H. A., Owolabi, H. A., & Kadiri, K. O. (2017). Attributes of design for construction waste minimization: A case study of waste-to-energy project. Renewable and Sustainable Energy Reviews, 73, 1333-1341. https://doi.org/10.1016/j.rser.2017.01.084

© 2017 Elsevier Ltd Despite the consensus that waste efficient design is important for reducing waste generated by construction and demolition activities, design strategies for actual waste mitigation remain unclear. In addition, decisive roles requi... Read More about Attributes of design for construction waste minimization: A case study of waste-to-energy project.

Big Data in the construction industry: A review of present status, opportunities, and future trends (2016)
Journal Article
Bilal, M., Oyedele, L. O., Qadir, J., Munir, K., Ajayi, S. O., Akinade, O. O., …Pasha, M. (2016). Big Data in the construction industry: A review of present status, opportunities, and future trends. Advanced Engineering Informatics, 30(3), 500-521. https://doi.org/10.1016/j.aei.2016.07.001

© 2016 Elsevier Ltd The ability to process large amounts of data and to extract useful insights from data has revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide assortment of industries, including the construction... Read More about Big Data in the construction industry: A review of present status, opportunities, and future trends.