Deep learning and boosted trees for injuries prediction in power infrastructure projects

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

doi:10.1016/j.asoc.2021.107587

All Outputs (4)

Rainfall Prediction: A Comparative Analysis of Modern Machine Learning Algorithms for Time-Series Forecasting (2021)
Journal Article

Rainfall forecasting has gained utmost research relevance in recent times due to its complexities and persistent applications such as flood forecasting and monitoring of pollutant concentration levels, among others. Existing models use complex statis... Read More about Rainfall Prediction: A Comparative Analysis of Modern Machine Learning Algorithms for Time-Series Forecasting.

Deep learning with small datasets: Using autoencoders to address limited datasets in construction management (2021)
Journal Article

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 practices and the low level of digitisation of the construction industry represent a big hur... Read More about Deep learning with small datasets: Using autoencoders to address limited datasets in construction management.

Digital Twins for the built environment: Learning from conceptual and process models in manufacturing (2021)
Journal Article

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 existing DT research in manufacturing. The DT is a Product Life Management information con... Read More about Digital Twins for the built environment: Learning from conceptual and process models in manufacturing.

Deep learning and boosted trees for injuries prediction in power infrastructure projects (2021)
Journal Article

Electrical injury impacts are substantial and massive. Investments in electricity will continue to increase, leading to construction project complexities, which undoubtedly contribute to injuries and associated effects. Machine learning (ML) algorith... Read More about Deep learning and boosted trees for injuries prediction in power infrastructure projects.