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January 28, 2022
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QL-CONST1 - AN EXPERT SYSTEM FOR QUALITY LEVEL PREDICTION IN CONCRETE STRUCTURES

Publicated to: CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS. 5 (4): 206-212 - 1988-01-01 5(4), DOI: 10.1080/02630258808970530

Authors:

SEDANO, BG; CERROLAZA, M; ALARCON, E
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Keywords

Artificial intelligence--expert systemsBayesian inferenceConcrete constructionExpert system ql-const1Expert systemsKnowledge based systemsKnowledge-based systemsProbabilityQuality controlReinforced concrete structuresReliability

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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-27:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 5 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/15837/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 451
  • Downloads: 441
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