Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/228770
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dc.titleTHE APPLICATION AND IMPACT OF MACHINE LEARNING (ML) TO BIM IN THE CONSTRUCTION INDUSTRY: THE IDEATION OF ML–BASED BIM SOLUTIONS TO ENHANCE THE BENEFITS OF BIM
dc.contributor.authorKIM NAHYUN
dc.date.accessioned2022-07-18T07:11:57Z
dc.date.available2022-07-18T07:11:57Z
dc.date.issued2022
dc.identifier.citationKIM NAHYUN (2022). THE APPLICATION AND IMPACT OF MACHINE LEARNING (ML) TO BIM IN THE CONSTRUCTION INDUSTRY: THE IDEATION OF ML–BASED BIM SOLUTIONS TO ENHANCE THE BENEFITS OF BIM. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/228770
dc.description.abstractThe study aims to investigate the probable application and impact of Machine Learning (ML) to Building Information Modelling (BIM) in the existing construction industry through the formulation of ML-based BIM solutions to expand the advantages of BIM. An in-depth study has been done to understand the background of BIM in the existing built environment, as well as the nature of Machine Learning and Artificial Intelligence (AI) technology, followed by the current adoption of such technology in the building industry to this date. This study has focuses on providing potential ML-based construction suggestions that could possibly aid the construction industry via aiding the benefits of BIM, through qualitative research. Literature reviews and research are done to analyse the gaps and possible rooms for improvement, as well as to gain insights in synthesizing possible solutions. Interviews are conducted to validate and to obtain opinions from an expert point of view in order to bring together the concepts of BIM and ML in a holistic manner. Finally, this research provides some recommendations for future research, which could possibly be the source of insights in both the construction and the AI industry.
dc.subjectBIM
dc.subjectMachine Learning
dc.subjectArtificial Intelligence
dc.typeDissertation
dc.contributor.departmentDEPT OF THE BUILT ENVIRONMENT
dc.contributor.supervisorTEO AI LIN, EVELYN
dc.description.degreeBACHELOR'S
dc.description.degreeconferredBACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT)
Appears in Collections:Bachelor's Theses

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