Recommender System for Improving BIM Efficiency: An Interior Finishing Case Study-Reference-Cited by-同舟云学术

Recommender System for Improving BIM Efficiency: An Interior Finishing Case Study

Published:2018-03-29 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2018
language:
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Author:

Zhang Yuxuan¹²³,Liu Hexu¹²³,Al-Hussein Mohamed¹²³

Affiliation:

1. M.Sc. Student, Dept. of Civil and Environmental Engineering, Hole School of Construction Engineering, Univ. of Alberta, 9105 116 St. NW, Edmonton, AB, Canada T6G 2W2.

2. Postdoctoral Fellow, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 9105 116 St. NW, Edmonton, AB, Canada T6G 2W2.

3. Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 9211 116 St. NW, Edmonton, AB, Canada T6G 1H9.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784481264.003

Reference9 articles.

1. Aggarwal C. C. (2016). Recommender systems. Springer International Publishing.

2. Multi-objective optimization as a new approach to illumination design of interior spaces;Cassol F.;Building and Environment,2011

3. Example-based synthesis of 3D object arrangements;Fisher M.;ACM Transactions on Graphics, 31(6), article no. 135.,2012

4. Inverse lighting design for interior buildings integrating natural and artificial sources;Fernández E.;Computers & Graphics,2012

5. ImageNet classification with deep convolutional neural networks;Krizhevsky A.;Communications of the ACM,2017

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