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Applied artificial intelligence for predicting construction projects delay
(2021-09-25)
This study presents evidence of a developed ensemble of ensembles predictive model for delay prediction – a global phenomenon that has continued to strangle the construction sector despite considerable mitigation efforts. ...
A Comparative Study on Machine Learning Algorithms for Assessing Energy Efficiency of Buildings
(Springer Nature, 2021-09-17)
An increase in energy demand in buildings continues to give rise to air pollution with a consequent impact on human health. To curb this trend, energy efficiency assessment plays a crucial role in helping to understand the ...
Extraction of underlying factors causing construction projects delay in Nigeria
(2021-09-07)
Purpose This paper aims to establish the most underlying factors causing construction projects delay from the most applicable. Design/methodology/approach The paper conducted survey of experts using systematic review of ...
Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors
(2021-08-13)
Purpose This paper seeks to assess the performance levels of BA-GS-LSSVM compared to popular standalone algorithms used to build NO2 prediction models. The purpose of this paper is to pre-process a relatively large data ...
Effects of Building Information Modeling on Construction Projects Delay: A Systematic Review
(2021-07-08)
Time is a critical factor or primary success metric in measuring the progress of construction projects since they are normally time-bound. The construction industry, on the other hand, seldom completes projects on time due ...
A Comparative Study on Machine Learning Algorithms for Predicting Construction Projects Delay
(Obafemi Awolowo University, Ile-Ife, 2021-07-08)
The perpetual occurrence of a global phenomenon – delay in construction industry despite considerable mitigation efforts remains a huge concern to its policy makers. Interestingly, this industry which produces massive ...
Random Forest Feature Selection for Particulate Matter (PM10) Pollution Concentration
(Obafemi Awolowo University, Ile-Ife, 2021-07-08)
There are already countless articles on strategies to limit human exposure to particulate matter10 (PM10) pollution because of their disastrous impact on the environment and people's well-being in the United Kingdom (UK) ...