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Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 16 Similar Profiles
Semantics Engineering & Materials Science
Ontology Engineering & Materials Science
Value engineering Engineering & Materials Science
Learning systems Engineering & Materials Science
Energy utilization Engineering & Materials Science
Information retrieval Engineering & Materials Science
Sustainable development Engineering & Materials Science
Decision making Engineering & Materials Science

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Research Output 2005 2018

A clustering approach for analyzing the computability of building code requirements

Zhang, R. & El-Gohary, N., Jan 1 2018, Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018. American Society of Civil Engineers (ASCE), Vol. 2018-April. p. 86-95 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Semantics
Syntactics
Clustering algorithms
Learning algorithms
Learning systems

A review of data-driven building energy consumption prediction studies

Amasyali, K. & El-Gohary, N., Jan 1 2018, In : Renewable and Sustainable Energy Reviews. 81, p. 1192-1205 14 p.

Research output: Contribution to journalReview article

Energy utilization
Learning algorithms
Learning systems
Conservation
Planning
Value engineering
Industry
Value analysis
Information extraction
Information modeling

Automated matching of design information in BIM to regulatory information in energy codes

Zhou, P. & El-Gohary, N., Jan 1 2018, Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018. American Society of Civil Engineers (ASCE), Vol. 2018-April. p. 75-85 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Semantics
Data structures
Application programming interfaces (API)
Industry
Processing

Data-Driven Approach to Identify the Impacts of Urban Neighborhood Characteristics on Building Energy Consumption

Wang, L. & El-Gohary, N., Jan 1 2018, Construction Research Congress 2018: Sustainable Design and Construction and Education - Selected Papers from the Construction Research Congress 2018. American Society of Civil Engineers (ASCE), Vol. 2018-April. p. 664-674 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Energy utilization
Clustering algorithms
Learning systems
Availability