Publication2023
A Normalized ANN Model for Earthquake Estimation
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- Proceedings of the 2nd International Conference on Applied Artificial Intelligence and Computing Icaaic 2023
- Pages
- 151-155
- Published
- 1 January 2023
- DOI
- 10.1109/icaaic56838.2023.10140242
- Scopus ID
- 85163627954
- Authors
- 6
- Open access
- No
- Citations
- 41
- 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
13.1 Strengthen resilience and adaptive capacity to climate-related hazards and natural disasters
Artificial neural network model for earthquake prediction strengthens disaster preparedness and early warning systems, improving community resilience and adaptive capacity to natural disasters.
- 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
11.5 Significantly reduce deaths and economic losses caused by disasters, including water-related disasters
Earthquake forecasting supports disaster risk reduction and safer city planning.
- 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-2.5 Green economy, energy transition and climate resilience
AI-based disaster prediction enhances climate and disaster resilience capacity.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “A Normalized ANN Model for Earthquake Estimation”. Kortex.