Publication2023
Prevention of border infiltration by militants in J&K region using IoT
The record
- Type
- Publication
- Date
- 11 July 2023
- Level
- National
- Journal
- Aip Conference Proceedings
- Volume
- 2745
- Issue
- 1
- Published
- 11 July 2023
- DOI
- 10.1063/5.0132561
- Scopus ID
- 85176602983
- ISSN
- 0094243X
- 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
16.4 Significantly reduce illicit financial and arms flows and combat all forms of organized crime
IoT-based border surveillance system with automated deep learning analysis addresses reduction of violence and crime through enhanced border security monitoring and anomaly detection.
- 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.
- 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
Proposes innovative technology integration of drones, deep learning, and automated reconnaissance networks for defense sector application, representing research in defense technology.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.4 Public safety, cybersecurity and national security
Defense technology for national security through automated surveillance, drone integration, and computational intelligence for public safety and security enhancement.
- 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. “Prevention of border infiltration by militants in J&K region using IoT”. Kortex.