Publication2008
Using neural networks for prediction of some properties of fly ash
- Industry, Innovation and Infrastructure
- Responsible Consumption and Production
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 13 June 2008
- Level
- National
- Journal
- Electronic Journal of Geotechnical Engineering
- Volume
- 13 D
- Published
- 13 June 2008
- Scopus ID
- 44849099264
- ISSN
- 10893032
- Authors
- 2
- Open access
- No
- Citations
- 13
- 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
12 Ensure sustainable consumption and production patterns
Artificial neural network prediction of fly ash properties demonstrates research application to characterizing industrial waste for productive reuse.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Neural network methodology represents computational research technique for material property prediction and characterization.
- 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.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 12 label. Artificial neural network prediction of fly ash properties demonstrates research application to characterizing industrial waste for productive reuse.
- 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. “Using neural networks for prediction of some properties of fly ash”. Kortex.