Publication2024
Service Classification using Deep Learning Models: A Comprehensive Analysis
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- Esic 2024 4th International Conference on Emerging Systems and Intelligent Computing Proceedings
- Pages
- 648-653
- Published
- 1 January 2024
- DOI
- 10.1109/esic60604.2024.10481652
- Scopus ID
- 85190971850
- Authors
- 6
- 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
Develops deep neural network for automatic service classification across 50 categories from service names and descriptions without manual feature engineering.
- 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
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Proposes deep learning framework for web service discovery and integration, advancing service-oriented architecture and digital platform technology.
- 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. “Service Classification using Deep Learning Models: A Comprehensive Analysis”. Kortex.