Publication2025
Exploring Multi-Domain Applications of Artificial Intelligence: A Comprehensive Review
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 2025 5th IEEE International Conference on Applied Electromagnetics Signal Processing and Communication Aespc 2025
- Published
- 1 January 2025
- DOI
- 10.1109/aespc67542.2025.11326812
- Scopus ID
- 105033145601
- Authors
- 5
- Open access
- No
- Citations
- 0
- 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
Comprehensive review of artificial intelligence applications across healthcare robotic surgery, precision farming and personalized learning advances innovation research capacity.
- 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
2 End hunger, achieve food security and improved nutrition and promote sustainable agriculture
Precision farming applications demonstrate AI potential for agricultural productivity and crop yield improvement.
- 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-3.2 Digital technology and artificial intelligence
AI and machine learning applications across multiple domains advance digital technology and artificial intelligence innovation.
- 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. “Exploring Multi-Domain Applications of Artificial Intelligence: A Comprehensive Review”. Kortex.