Publication2023
Machine Learning-Based Cooperative Spectrum Sensing in A Generalized α-κ-μ Fading Channel
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- Journal of Scientific and Industrial Research
- Volume
- 82
- Issue
- 2
- Pages
- 219-2255
- Published
- 1 January 2023
- DOI
- 10.56042/jsir.v82i2.69927
- Scopus ID
- 85149751094
- ISSN
- 00224456
- Authors
- 3
- Open access
- Yes
- Citations
- 3
- 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
K-means clustering approach for cooperative spectrum sensing in cognitive radio networks enhances unused spectrum utilization efficiency
- 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
Viksit Bharat @2047
vb-2.4 Infrastructure and connectivity
Spectrum sensing technology supports wireless infrastructure and connectivity advancement
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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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. “Machine Learning-Based Cooperative Spectrum Sensing in A Generalized α-κ-μ Fading Channel”. Kortex.