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Professor Lukumon Oyedele
Professor Lukumon Oyedele
在 uwe.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Big Data in the construction industry: A review of present status, opportunities, and future trends
M Bilal, LO Oyedele, J Qadir, K Munir, SO Ajayi, OO Akinade, HA Owolabi, ...
Advanced engineering informatics 30 (3), 500-521, 2016
7632016
Robotics and automated systems in construction: Understanding industry-specific challenges for adoption
JMD Delgado, L Oyedele, A Ajayi, L Akanbi, O Akinade, M Bilal, ...
Journal of building engineering 26, 100868, 2019
4812019
Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges
SO Abioye, LO Oyedele, L Akanbi, A Ajayi, JMD Delgado, M Bilal, ...
Journal of Building Engineering 44, 103299, 2021
4622021
Salvaging building materials in a circular economy: A BIM-based whole-life performance estimator
LA Akanbi, LO Oyedele, OO Akinade, AO Ajayi, MD Delgado, M Bilal, ...
Resources, Conservation and Recycling 129, 175-186, 2018
3952018
Systematic review of bankruptcy prediction models: Towards a framework for tool selection
HA Alaka, LO Oyedele, HA Owolabi, V Kumar, SO Ajayi, OO Akinade, ...
Expert Systems with Applications 94, 164-184, 2018
3912018
Cloud computing in construction industry: Use cases, benefits and challenges
SA Bello, LO Oyedele, OO Akinade, M Bilal, JMD Delgado, LA Akanbi, ...
Automation in Construction, 103441, 2021
3862021
A research agenda for augmented and virtual reality in architecture, engineering and construction
JMD Delgado, L Oyedele, P Demian, T Beach
Advanced Engineering Informatics 45, 101122, 2020
3582020
Deep learning in the construction industry: A review of present status and future innovations
TD Akinosho, LO Oyedele, M Bilal, AO Ajayi, MD Delgado, OO Akinade, ...
Journal of Building Engineering 32, 101827, 2020
3502020
Waste effectiveness of the construction industry: Understanding the impediments and requisites for improvements
SO Ajayi, LO Oyedele, M Bilal, OO Akinade, HA Alaka, HA Owolabi, ...
Resources, Conservation and Recycling 102, 101-112, 2015
2932015
Waste minimisation through deconstruction: A BIM based Deconstructability Assessment Score (BIM-DAS)
OO Akinade, LO Oyedele, M Bilal, SO Ajayi, HA Owolabi, HA Alaka, ...
Resources, conservation and recycling 105, 167-176, 2015
2782015
Designing out construction waste using BIM technology: Stakeholders' expectations for industry deployment
OO Akinade, LO Oyedele, SO Ajayi, M Bilal, HA Alaka, HA Owolabi, ...
Journal of cleaner production 180, 375-385, 2018
2672018
Design for Deconstruction (DfD): Critical success factors for diverting end-of-life waste from landfills
OO Akinade, LO Oyedele, SO Ajayi, M Bilal, HA Alaka, HA Owolabi, ...
Waste management 60, 3-13, 2017
2532017
Critical management practices influencing on-site waste minimization in construction projects
SO Ajayi, LO Oyedele, M Bilal, OO Akinade, HA Alaka, HA Owolabi
Waste management 59, 330-339, 2017
2042017
Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy
LA Akanbi, LO Oyedele, K Omoteso, M Bilal, OO Akinade, AO Ajayi, ...
Journal of cleaner production 223, 386-396, 2019
2002019
Big data architecture for construction waste analytics (CWA): A conceptual framework
M Bilal, LO Oyedele, OO Akinade, SO Ajayi, HA Alaka, HA Owolabi, ...
Journal of Building Engineering 6, 144-156, 2016
2002016
Reducing waste to landfill: A need for cultural change in the UK construction industry
SO Ajayi, LO Oyedele, OO Akinade, M Bilal, HA Owolabi, HA Alaka, ...
Journal of Building Engineering 5, 185-193, 2016
1762016
Policy imperatives for diverting construction waste from landfill: Experts’ recommendations for UK policy expansion
SO Ajayi, LO Oyedele
Journal of cleaner production 147, 57-65, 2017
1752017
Augmented and virtual reality in construction: drivers and limitations for industry adoption
JM Davila Delgado, L Oyedele, T Beach, P Demian
Journal of construction engineering and management 146 (7), 04020079, 2020
1712020
Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting
AY Barrera-Animas, LO Oyedele, M Bilal, TD Akinosho, JMD Delgado, ...
Machine Learning with Applications, 100204, 2022
1652022
Integrating construction supply chains within a circular economy: An ANFIS-based waste analytics system (A-WAS)
OO Akinade, LO Oyedele
Journal of Cleaner Production 229, 863-873, 2019
1592019
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