F
Farzad Pour Rahimian
Researcher at Teesside University
Publications - 108
Citations - 1862
Farzad Pour Rahimian is an academic researcher from Teesside University. The author has contributed to research in topics: Computer science & Building information modeling. The author has an hindex of 19, co-authored 83 publications receiving 1140 citations. Previous affiliations of Farzad Pour Rahimian include University of Florence & University of Central Lancashire.
Papers
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Machine learning for estimation of building energy consumption and performance: a review
TL;DR: A substantial review on the four main ML approaches including artificial neural network, support vector machine, Gaussian-based regressions and clustering, which have commonly been applied in forecasting and improving building energy performance are provided.
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On-Demand Monitoring of Construction Projects through a Game-Like Hybrid Application of BIM and Machine Learning
Farzad Pour Rahimian,Farzad Pour Rahimian,Saleh Seyedzadeh,Stephen Oliver,Sergio Rodriguez,Nashwan Dawood +5 more
TL;DR: A framework and a proof of concept prototype for on-demand automated simulation of construction projects, integrating some cutting edge IT solutions, namely image processing, machine learning, BIM and Virtual Reality are presented.
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Comparison of CAD and manual sketching tools for teaching architectural design
TL;DR: This paper discusses the identified advantages and challenges of current design media and then proposes an alternative VR-based design interface for enhancing cognition and communication among designers during the conceptual design phase.
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Tuning machine learning models for prediction of building energy loads
TL;DR: This study investigated the accuracy of most popular ML models in the prediction of buildings heating and cooling loads carrying out specific tuning for each ML model and using two simulated building energy data generated in EnergyPlus and Ecotect and compared the results.
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Impacts of VR 3D sketching on novice designers’ spatial cognition in collaborative conceptual architectural design
TL;DR: In this article, a haptic-based VR 3D sketching interface for integrating novice designers' cognitions and actions to improve design creativity has been proposed, which can help the development of cutting-edge hapticbased collaborative virtual environments in architectural education and associated professions.