Publication2026
AI-Enhanced Drone Automation for Collision Detection Cyber Defense and Energy Savings
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- AI for Sustainable Operations Industry Applications and Governance
- Pages
- 229-260
- Published
- 1 January 2026
- DOI
- 10.4018/979-8-2600-2806-3.ch008
- Scopus ID
- 105045152159
- Authors
- 1
- 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 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
AI-enhanced drone automation with CNN-LSTM for collision detection and energy optimization represents advances in autonomous vehicle technology 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
16.4 Significantly reduce illicit financial and arms flows and combat all forms of organized crime
Cyber defense mechanisms in drone systems contribute to cybersecurity and national security frameworks.
- 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
Drone cybersecurity technology supports national security measures.
- 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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Provenance
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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-Enhanced Drone Automation for Collision Detection Cyber Defense and Energy Savings”. Kortex.