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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. ...
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 ...
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) ...
An Application Of Machine Learning With Boruta Feature Selection To Improve NO2 Pollution Prediction
(Obafemi Awolowo University, Ile-Ife, 2021-07-08)
Projecting and monitoring NO2 pollutants' concentration is perhaps an efficient and effective technique to lower people's exposure, reducing the negative impact caused by this harmful atmospheric substance. Many studies ...