International Research Awards On Computer Aided Design In Mechanical Engineering
This study addresses the challenge of mold prevention in built environments through a machine learning approach for portfolio-wide severity prediction utilizing existing facility management datasets. While mold exposure is associated with respiratory health complications and substantial economic burden, contemporary prediction methodologies predominantly rely on micro-climate specific models requiring detailed hygrothermal data from environmental monitoring systems.
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