Publication2026
Beyond Images: Metadata-Augmented Multimodal Fusion for Wildlife Classification
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- International — held abroad
- Journal
- Proceedings of the 18th International Conference on Electronics Computers and Artificial Intelligence Ecai 2026
- Published
- 1 January 2026
- DOI
- 10.1109/ecai69016.2026.11613601
- Scopus ID
- 105046608337
- Authors
- 6
- Open access
- No
- Citations
- 0
- International co-authorship
- Yes
- Co-author countries
- IN, RO
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
15.1 Ensure the conservation, restoration and sustainable use of terrestrial and inland freshwater ecosystems
Multimodal machine learning framework fusing YOLOv8 visual features with temporal-spatial metadata for automated wildlife species classification
- 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
13.3 Improve education, awareness-raising and institutional capacity on climate change mitigation, adaptation and early warning
Ecological monitoring system advances climate change adaptation through biodiversity assessment from camera trap data
- 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
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Edge-deployable AI system demonstrates digital technology application for conservation and ecosystem monitoring
- 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. “Beyond Images: Metadata-Augmented Multimodal Fusion for Wildlife Classification”. Kortex.