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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2013

Discrete-time modelling for performance analysis and optimisation of uplink traffic in IEEE 802.16 networks

The record

Type
Publication
Date
1 January 2013
Level
National
Journal
International Journal of Communication Networks and Distributed Systems
Volume
10
Issue
3
Pages
243-257
Published
1 January 2013
DOI
10.1504/ijcnds.2013.053080
Scopus ID
84878290009
ISSN
17543916
Authors
2
Open access
No
Citations
3
International co-authorship
No
Co-author countries
IN

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UN Sustainable Development Goals

  1. 9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

    GoalPrimaryModerate confidenceJudged

    Machine learning approach for structural analysis and prediction of material properties.

    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

  1. vb-3 Innovation, Science and Technology

    ThemePrimaryModerate confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Machine learning approach for structural analysis and prediction of material properties.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Discrete-time modelling for performance analysis and optimisation of uplink traffic in IEEE 802.16 networks”. Kortex.

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