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Olusayo Ayobami Bamgbose, Babatunde Fatai Ogunbayo and Clinton Ohis Aigbavboa
The widespread adoption of building information modelling in the construction industry faces significant obstacles, particularly among small and medium-sized construction enterprises. This research accessed barriers to building information modelling adop...
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Guy Austern, Tanya Bloch and Yael Abulafia
The application of machine learning (ML) for the automatic classification of building elements is a powerful technique for ensuring information integrity in building information models (BIMs). Previous work has demonstrated the favorable performance of s...
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William Henry Collinge and Carlos Osorio-Sandoval
A continuing need to improve health, safety and wellbeing in construction has led to multiple research projects and technological innovations. One such innovation is the Safety Risk Library: a repository of data that functions in BIM environments to assi...
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Alexander Koutamanis
Planning regulations determine a substantial part of buildings, but their constraints are usually not included in the setup of a BIM model or used explicitly for design guidance, but only tested in compliance checks once a model has been made. This is sy...
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Mazen A. Al-Sinan, Abdulaziz A. Bubshait and Zainab Aljaroudi
Recent advancements in machine learning (ML) applications have set the stage for the development of autonomous construction project scheduling systems. This study presents a blueprint to demonstrate how construction project schedules can be generated aut...
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