Publication2019
An adaptive genetic algorithm method for damage detection in structural elements
The record
- Type
- Publication
- Date
- 1 January 2019
- Level
- National
- Journal
- Materials Today Proceedings
- Volume
- 26
- Pages
- 581-585
- Published
- 1 January 2019
- DOI
- 10.1016/j.matpr.2019.12.162
- Scopus ID
- 85089024921
- ISSN
- 22147853
- Authors
- 2
- Open access
- No
- Citations
- 2
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Adaptive genetic algorithm for non-destructive structural damage detection using vibration parameters contributes to research innovation in condition monitoring techniques.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.1 Research and development
AI-based structural health monitoring advances research and development of maintenance technologies.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “An adaptive genetic algorithm method for damage detection in structural elements”. Kortex.