Work

Examining Potential Socio-economic Factors that Affect Machine Learning Research in the AEC Industry

Year: 2019

Type: conference-paper

Study design: Systematic Review

Source: Communications in computer and information science

DOI: 10.1007/978-981-13-8410-3_18

Authors: Nariddh Khean, Alessandra Fabbri, David Gerber, Matthias H. Haeusler

Institutions: UNSW Sydney, University of Southern California, Arup Group (United Kingdom), Central Academy of Fine Arts

Language: English

Topic: BIM and Construction Integration

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Reduced inequalities, Industry, innovation and infrastructure, Decent work and economic growth

Open Access status: green

OpenAlex ID: W2950107291

FWCI: 0.532

Cites: 16

Cited by: 4

Related to: 10