Fingerprint The Elsevier Fingerprint Engine mines the text of the experts' scholarly documents – publication abstracts, awards, project summaries, patents, and other sources – to create an index of weighted terms which defines the text, known as a Fingerprint. By aggregating and comparing Fingerprints, the Elsevier Fingerprint Engine enables users to look beyond metadata and expose valuable connections among people, research units, publications, and ideas.

effect Earth & Environmental Sciences
modeling Earth & Environmental Sciences
Concretes Engineering & Materials Science
analysis Earth & Environmental Sciences
water Earth & Environmental Sciences
method Earth & Environmental Sciences
Water Engineering & Materials Science
Experiments Engineering & Materials Science

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Research Output 1969 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

Chemical composition and redox activity of PM0.25 near Los Angeles International Airport and comparisons to an urban traffic site

Shirmohammadi, F., Lovett, C., Sowlat, M. H., Mousavi, A., Verma, V., Shafer, M. M., Schauer, J. J. & Sioutas, C. Jan 1 2018 In : Science of the Total Environment. 610-611, p. 1336-1346 11 p.

Research output: Research - peer-reviewArticle

airport
particulate matter
chemical composition
organic carbon
urban traffic

Distribution comparison and risk assessment of free-floating and particle-attached bacterial pathogens in urban recreational water: Implications for water quality management

Fang, T., Cui, Q., Huang, Y., Dong, P., Wang, H., Liu, W. T. & Ye, Q. Feb 1 2018 In : Science of the Total Environment. 613-614, p. 428-438 11 p.

Research output: Research - peer-reviewArticle

risk assessment
pathogen
water
distribution
particle

Honors & Recognition