Abstract Even with the utilization of software tools like Navisworks to automate clash detection, clash resolution in construction projects remains a slow and manual process. The reason is the meticulous nature of the process where coordinators need to ensure that resolving one clash does not lead to new clashes. The use of machine learning toContinue reading “Developing a Machine-Learning Model to Predict Clash Resolution Options”
Category Archives: Machine Learning Applications
Design and Usability Evaluation of an Annotated Video–Based Learning Environment for Construction Engineering Education
Abstract Advancement in video technology has made it possible for instructors to provide students with applied knowledge of construction practice. While videos can stimulate students’ interest in the construction domain by providing opportunities to observe real-life construction work, videos can sometimes contain extraneous information that may distract learners from essential learning contents. Computer vision techniquesContinue reading “Design and Usability Evaluation of an Annotated Video–Based Learning Environment for Construction Engineering Education”
Towards automated occupant profile creation in smart buildings: A machine learning-enabled approach for user persona generation
Highlights Abstract The user persona is a communication tool for designers to generate a mental model that describes the archetype of users. Developing building occupant personas is proven to be an effective method for human-centered smart building design, which considers occupant comfort, behavior, and energy consumption. Optimization of building energy consumption also requires a deepContinue reading “Towards automated occupant profile creation in smart buildings: A machine learning-enabled approach for user persona generation”
Construction Practice Knowledge for Complementing Classroom Teaching during Site Visits
Abstract Purpose As video-based interventions are continuously utilized as alternatives to physical site visits, directing students’ attention to specific learning contents within videos could increase their comprehension and stimulate their interest. Students’ knowledge of construction practice can be reinforced, misconceptions and improper inferences can be reduced by calling out significant learning concepts. However, few studiesContinue reading “Construction Practice Knowledge for Complementing Classroom Teaching during Site Visits”
A framework of developing machine learning models for facility life-cycle cost analysis
Abstract Machine learning techniques have been used for predicting facility-related costs but there is a lack of research on developing machine learning models for the complete life-cycle cost (LCC) analysis of facilities. This research aims to systematically investigate the feasibility of forecasting facilities’ LCC by implementing machine learning on historical data. The authors propose aContinue reading “A framework of developing machine learning models for facility life-cycle cost analysis”
Machine Learning Applications in Facility Life-Cycle Cost Analysis: A Review
Abstract A large amount of resources are spent on constructing new facilities and maintaining the existing ones. The total cost of facility ownership can be minimized by focusing on reducing the facilities life-cycle costs (LCCs) rather than the initial design and construction costs. With the developments of machine learning in predictive analytics and the utilizingContinue reading “Machine Learning Applications in Facility Life-Cycle Cost Analysis: A Review”
A Framework for Developing Machine Learning Models for Facility Life Cycle Cost Analysis through BIM and IoT
Summary A large amount of resources are spent on constructing new facilities and maintaining the existing ones. The total cost of facility ownership can be minimized by focusing on reducing the facilities life-cycle costs (LCC) rather than the initial design and construction costs. This thesis presents a research project that developed a machine learning-enabled facilityContinue reading “A Framework for Developing Machine Learning Models for Facility Life Cycle Cost Analysis through BIM and IoT”
Ray Gao's Cabinet of Curiosities 