...Nurhayatul Khursniah Hasim; Nurshuhada Zainon; Hafez Salleh Purpose The purpose of this study is to explore practitioner perceptions, readiness and barriers regarding machine learning (ML) adoption in construction project management. It examines ML’s potential to enhance decision-making...

... resource allocation and mitigate project risks. Originality/value To improve the cost performance of construction renovation projects, it is essential to take uncertainty into account, its impact on predictions and the accuracy and value of model predictions. In this study, a novel machine learning...

... interoperability, heritage building information modelling and digital twin models, and machine learning and risk assessment algorithms. Heritage and historic buildings (HHBs) are estimated to be circa 30% of the total existing buildings stock in Europe (Troi, 2011 ; Economidou et al., 2011...

.... For this reason, in this work, an innovative approach about reconstructing the indoor microclimate into heritage buildings, just knowing the outdoor one, is proposed. This methodology is based on using machine learning tools known as variational auto encoders (VAEs), that are able to reconstruct time series...

... performance in the detection of microclimatic fluctuations induced by the presence of visitors. Originality/value The novelty of this work stands in using both well-established and in-house ad hoc machine learning algorithms in the field of heritage science, proving that these smart...