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

Publication2018

Mist Data: Leveraging Mist Computing for Secure and Scalable Architecture for Smart and Connected Health

The record

Type
Publication
Date
1 January 2018
Level
International — held abroad
Journal
Procedia Computer Science
Volume
125
Pages
647-653
Published
1 January 2018
DOI
10.1016/j.procs.2017.12.083
Scopus ID
85040665554
ISSN
18770509
Authors
9
Open access
Yes
Citations
54
International co-authorship
Yes
Co-author countries
IN, US

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

  1. 3.8 Achieve universal health coverage, including financial risk protection and access to essential medicines

    TargetPrimaryHigh confidenceJudged

    Mist computing architecture for real-time telemedicine and geospatial disease surveillance systems

    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
  2. 9.c Significantly increase access to ICT and provide universal and affordable access to the internet

    TargetSecondaryHigh confidenceJudged

    Edge computing and IoT infrastructure for healthcare data processing at network periphery

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1
  3. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    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

  1. vb-1.2 Health and well-being

    Sub-themePrimaryHigh confidenceJudged

    Digital health innovation reducing latency in patient monitoring and diagnosis

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

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KIIT Deemed to be University. “Mist Data: Leveraging Mist Computing for Secure and Scalable Architecture for Smart and Connected Health”. Kortex.

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