Search Results - "Delgado, Juan Manuel Davila"

Digital Twins for the built environment: learning from conceptual and process models in manufacturing by Davila Delgado, Juan Manuel, Oyedele, Lukumon

“…The overall aim of this paper is to contribute to a better understanding of the Digital Twin (DT) paradigm in the built environment by drawing inspiration from…”
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A research agenda for augmented and virtual reality in architecture, engineering and construction by Davila Delgado, Juan Manuel, Oyedele, Lukumon, Demian, Peter, Beach, Thomas

“…This paper presents a study on the usage landscape of augmented reality (AR) and virtual reality (VR) in the architecture, engineering and construction…”
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Deep learning with small datasets: using autoencoders to address limited datasets in construction management by Davila Delgado, Juan Manuel, Oyedele, Lukumon

“…Large datasets are necessary for deep learning as the performance of the algorithms used increases as the size of the dataset increases. Poor data management…”
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Robotics and automated systems in construction: Understanding industry-specific challenges for adoption by Davila Delgado, Juan Manuel, Oyedele, Lukumon, Ajayi, Anuoluwapo, Akanbi, Lukman, Akinade, Olugbenga, Bilal, Muhammad, Owolabi, Hakeem

“…The construction industry is a major economic sector, but it is plagued with inefficiencies and low productivity. Robotics and automated systems have the…”
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Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms by Manuel Davila Delgado, Juan, Oyedele, Lukumon

“…The reinforcement and imitation learning paradigms have the potential to revolutionise robotics. Many successful developments have been reported in literature;…”
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Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges by Abioye, Sofiat O., Oyedele, Lukumon O., Akanbi, Lukman, Ajayi, Anuoluwapo, Davila Delgado, Juan Manuel, Bilal, Muhammad, Akinade, Olugbenga O., Ahmed, Ashraf

“…The growth of the construction industry is severely limited by the myriad complex challenges it faces such as cost and time overruns, health and safety,…”
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Augmented and Virtual Reality in Construction: Drivers and Limitations for Industry Adoption by Davila Delgado, Juan Manuel, Oyedele, Lukumon, Beach, Thomas, Demian, Peter

“…AbstractAugmented and virtual reality have the potential to provide a step-change in productivity in the construction sector; however, the level of adoption is…”
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Deep Learning Models for Health and Safety Risk Prediction in Power Infrastructure Projects by Ajayi, Anuoluwapo, Oyedele, Lukumon, Owolabi, Hakeem, Akinade, Olugbenga, Bilal, Muhammad, Davila Delgado, Juan Manuel, Akanbi, Lukman

“…Inappropriate management of health and safety (H&S) risk in power infrastructure projects can result in occupational accidents and equipment damage. Accidents…”
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Cloud computing in construction industry: Use cases, benefits and challenges by Bello, Sururah A., Oyedele, Lukumon O., Akinade, Olugbenga O., Bilal, Muhammad, Davila Delgado, Juan Manuel, Akanbi, Lukman A., Ajayi, Anuoluwapo O., Owolabi, Hakeem A.

“…Cloud computing technologies have revolutionised several industries for several years. Although the construction industry is well placed to leverage these…”
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Design for deconstruction using a circular economy approach: barriers and strategies for improvement by Akinade, Olugbenga, Oyedele, Lukumon, Oyedele, Ahmed, Davila Delgado, Juan Manuel, Bilal, Muhammad, Akanbi, Lukman, Ajayi, Anuoluwapo, Owolabi, Hakeem

“…This study explores the current practices of Design for Deconstruction (DfD) as a strategy for achieving circular economy. Keeping in view the opportunities…”
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Generating real-world-like labelled synthetic datasets for construction site applications by Barrera-Animas, Ari Yair, Davila Delgado, Juan Manuel

“…Having synthetic image generation and automatic labelling as two separate processes remains one of the main limitations of automatic generation of large…”
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Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy by Akanbi, Lukman A., Oyedele, Lukumon O., Omoteso, Kamil, Bilal, Muhammad, Akinade, Olugbenga O., Ajayi, Anuoluwapo O., Davila Delgado, Juan Manuel, Owolabi, Hakeem A.

“…Despite the relevance of building information modelling for simulating building performance at various life cycle stages, Its use for assessing the end-of-life…”
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Big data for Design Options Repository: Towards a DFMA approach for offsite construction by Gbadamosi, Abdul-Quayyum, Oyedele, Lukumon, Mahamadu, Abdul-Majeed, Kusimo, Habeeb, Bilal, Muhammad, Davila Delgado, Juan Manuel, Muhammed-Yakubu, Naimah

“…A persistent barrier to the adoption of offsite construction is the lack of information for assessing prefabrication alternatives and the choices of suppliers…”
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Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting by Barrera-Animas, Ari Yair, Oyedele, Lukumon O., Bilal, Muhammad, Akinosho, Taofeek Dolapo, Delgado, Juan Manuel Davila, Akanbi, Lukman Adewale

“…Rainfall forecasting has gained utmost research relevance in recent times due to its complexities and persistent applications such as flood forecasting and…”
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Big Data Analytics System for Costing Power Transmission Projects by Davila Delgado, Juan Manuel, Oyedele, Lukumon, Bilal, Muhammad, Ajayi, Anuoluwapo, Akanbi, Lukman, Akinade, Olugbenga

“…AbstractInaccurate cost estimates have significant impacts on the final cost of power transmission projects and erode profits. Methods for cost estimation have…”
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Structural Performance Monitoring Using a Dynamic Data-Driven BIM Environment by Davila Delgado, Juan Manuel, Butler, Liam J., Brilakis, Ioannis, Elshafie, Mohammed Z. E. B., Middleton, Campbell R.

“…Structural health monitoring data has not been fully leveraged to support asset management due to a lack of effective integration with other data sets. A…”
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BIM data model requirements for asset monitoring and the circular economy by Davila Delgado, Juan Manuel, Oyedele, Lukumon O

“…PurposeThe purpose of this paper is to review and provide recommendations to extend the current open standard data models for describing monitoring systems and…”
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Investigating profitability performance of construction projects using big data: A project analytics approach by Bilal, Muhammad, Oyedele, Lukumon O., Kusimo, Habeeb O., Owolabi, Hakeem A., Akanbi, Lukman A., Ajayi, Anuoluwapo O., Akinade, Olugbenga O., Davila Delgado, Juan Manuel

“…The construction industry generates different types of data from the project inception stage to project delivery. This data comes in various forms and formats…”
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Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings by Luo, X.J., Oyedele, Lukumon O., Ajayi, Anuoluwapo O., Akinade, Olugbenga O., Delgado, Juan Manuel Davila, Owolabi, Hakeem A., Ahmed, Ashraf

“…•A GA-determined DFNN architecture for real building electricity consumption.•Genetic algorithm to determine the optimal architecture of DFNN model.•Both…”
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Big data platform for health and safety accident prediction by Ajayi, Anuoluwapo, Oyedele, Lukumon, Davila Delgado, Juan Manuel, Akanbi, Lukman, Bilal, Muhammad, Akinade, Olugbenga, Oladimeji Olawale

“…PurposeThe purpose of this paper is to highlight the use of the big data technologies for health and safety risks analytics in the power infrastructure domain…”
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