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Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning

Overview of attention for article published in Advances in Engineering Software, May 2024
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164 Mendeley
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Article details
Title
Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning
Published in
Advances in Engineering Software, May 2024
DOI 10.1016/j.advengsoft.2024.103611
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 164 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 11 7%
Student > Ph. D. Student 9 5%
Researcher 9 5%
Other 6 4%
Lecturer 5 3%
Other 15 9%
Unknown 109 66%
Readers by discipline
Readers by discipline Count As %
Engineering 49 30%
Energy 2 1%
Chemical Engineering 1 <1%
Business, Management and Accounting 1 <1%
Computer Science 1 <1%
Other 2 1%
Unknown 108 66%