Publication2025
AI for Disaster Management: Predictive Models and Response Strategies
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 2025 International Conference on Pervasive Computational Technologies Icpct 2025
- Pages
- 798-801
- Published
- 1 January 2025
- DOI
- 10.1109/icpct64145.2025.10941459
- Scopus ID
- 105002837661
- Authors
- 6
- Open access
- No
- Citations
- 1
- 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
11 Make cities and human settlements inclusive, safe, resilient and sustainable
AI-based predictive models for disaster management and response optimization directly reduce disaster impacts on communities and infrastructure.
- 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
Machine learning and artificial neural networks for disaster prediction represent innovations in computational modeling research.
- 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-4.4 Public safety, cybersecurity and national security
AI disaster management systems support national security and public safety through improved disaster preparedness.
- 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “AI for Disaster Management: Predictive Models and Response Strategies”. Kortex.