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

Publication2015

An expeditious adaptive R+ tree based image segmentation and fast reconstruction

The record

Type
Publication
Date
1 January 2015
Level
National
Journal
2015 International Conference on Computing for Sustainable Global Development Indiacom 2015
Pages
2007-2012
Published
1 January 2015
Scopus ID
84960927098
Authors
4
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

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryModerate confidenceJudged

    Image segmentation algorithm development using R+ trees and Delaunay triangulation for medical image reconstruction.

    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. Image segmentation algorithm development using R+ trees and Delaunay triangulation for medical image reconstruction.

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

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KIIT Deemed to be University. “An expeditious adaptive R+ tree based image segmentation and fast reconstruction”. Kortex.

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An expeditious adaptive R+ tree based image segmentation and fast reconstruction · Kortex