2022
DOI: 10.1088/1755-1315/1122/1/012050
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Modeling Artificial Neural Networks to Predict Asbestos-containing Materials in Residential Buildings

Abstract: The presence of hazardous materials inhibits material circularity. The existing residential buildings are exposed to the risk of the unforeseen presence of asbestos-containing materials during the demolition or renovation process. Estimating the potential occurrence of contaminated building components can therefore facilitate semi-selective demolition and decontamination planning. The study aims to investigate the prediction possibility of seven frequently detected asbestos-containing materials by using artifi… Show more

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