Optimised Big Data analytics for health and safety hazards prediction in power infrastructure operations

Ajayi, Anuoluwapo; Oyedele, Lukumon; Akinade, Olugbenga; Bilal, Muhammad; Owolabi, Hakeem; Akanbi, Lukman; Delgado, Juan Manuel Davila

doi:10.1016/j.ssci.2020.104656

All Outputs (5)

Cloud computing in construction industry: Use cases, benefits and challenges (2020)
Journal Article

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.

IoT for predictive assets monitoring and maintenance: An implementation strategy for the UK rail industry (2020)
Journal Article

With about 100% increase in rail service usage over the last 20 years, it is pertinent that rail infrastructure continues to function at an optimal level to avoid service disruptions, cancellations or delays due to unforeseen asset breakdown. In an e... Read More about IoT for predictive assets monitoring and maintenance: An implementation strategy for the UK rail industry.

BIM competencies for delivering waste-efficient building projects in a circular economy (2020)
Journal Article

Competency measures are increasingly becoming effective ways for construction organizations to measure their ability to deliver waste-efficient projects. Despite the ongoing efforts in achieving the goals of the circular economy through BIM adoption,... Read More about BIM competencies for delivering waste-efficient building projects in a circular economy.

Deep learning model for demolition waste prediction in a circular economy (2020)
Journal Article

An essential requirement for a successful circular economy is the continuous use of materials. Planning for building materials reuse at the end-of-life of buildings is usually a difficult task because limited time are usually made available for build... Read More about Deep learning model for demolition waste prediction in a circular economy.

Optimised Big Data analytics for health and safety hazards prediction in power infrastructure operations (2020)
Journal Article

© 2020 Elsevier Ltd Forecasting imminent accidents in power infrastructure projects require a robust and accurate prediction model to trigger a proactive strategy for risk mitigation. Unfortunately, getting ready-made machine learning algorithms to e... Read More about Optimised Big Data analytics for health and safety hazards prediction in power infrastructure operations.