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.

  • 11 Similar Profiles
Semantics Engineering & Materials Science
Compliance Engineering & Materials Science
Processing Engineering & Materials Science
Learning systems Engineering & Materials Science
Decision making Engineering & Materials Science
Energy utilization Engineering & Materials Science
Sustainable development Engineering & Materials Science
Information retrieval Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2005 2018

A review of data-driven building energy consumption prediction studies

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

Research output: Research - peer-reviewReview article

Energy utilization
Learning algorithms
Learning systems
Conservation
Planning

BIM-integrated system for automated value analysis of buildings

Zhang, L. & El-Gohary, N. M. 2017 Computing in Civil Engineering 2017: Smart Safety, Sustainability and Resilience - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017. American Society of Civil Engineers (ASCE), p. 245-253 9 p.

Research output: ResearchConference contribution

Decision making

Building energy use modes and thermal comfort

Amasyali, K. & El-Gohary, N. 2017 Computing in Civil Engineering 2017: Smart Safety, Sustainability and Resilience - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017. American Society of Civil Engineers (ASCE), p. 350-358 9 p.

Research output: ResearchConference contribution

Energy utilization
Office buildings
Thermal energy
Clustering algorithms
Environmental impact

Data-driven residential building energy consumption prediction for supporting multiscale sustainability assessment

Wang, L. & El-Gohary, N. M. 2017 Computing in Civil Engineering 2017: Smart Safety, Sustainability and Resilience - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017. American Society of Civil Engineers (ASCE), p. 324-332 9 p.

Research output: ResearchConference contribution

Sustainable development
Energy utilization
Learning systems
Feature extraction
Learning algorithms

Integrating semantic NLP and logic reasoning into a unified system for fully-automated code checking

Zhang, J. & El-Gohary, N. M. Jan 1 2017 In : Automation in Construction. 73, p. 45-57 13 p.

Research output: Research - peer-reviewArticle

Semantics
Compliance
Automation
Processing