Publication2024
Towards a Sustainable Future: Harnessing the Power of Computational Intelligence to Track Climate Change
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- Optimized Computational Intelligence Driven Decision Making Theory Application and Challenges
- Pages
- 275-304
- Published
- 1 January 2024
- DOI
- 10.1002/9781394242566.ch14
- Scopus ID
- 85206152829
- Authors
- 3
- Open access
- Yes
- 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
13.3 Improve education, awareness-raising and institutional capacity on climate change mitigation, adaptation and early warning
Comparative analysis of AI applications for drought prediction and CO2 capture demonstrates computational intelligence potential for climate change adaptation and mitigation, addressing water security and carbon reduction.
- 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
7.2 Substantially increase the share of renewable energy in the global energy mix
Carbon capture technology research supports clean energy transition and mitigation of atmospheric carbon dioxide.
- 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-driven climate adaptation and mitigation research advances green economy transition and climate resilience strategies.
- 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. “Towards a Sustainable Future: Harnessing the Power of Computational Intelligence to Track Climate Change”. Kortex.