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

Publication2015

Multiprocessor scheduling and neural network training methods using shuffled frog-leaping algorithm

The record

Type
Publication
Date
1 January 2015
Level
National
Journal
Computers and Industrial Engineering
Volume
80
Issue
1
Pages
154-158
Published
1 January 2015
DOI
10.1016/j.cie.2014.12.013
Scopus ID
84930066028
ISSN
03608352
Authors
3
Open access
No
Citations
29
International co-authorship
No
Co-author countries
IN

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UN Sustainable Development Goals

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

    TargetPrimaryHigh confidenceJudged

    Shuffled frog-leaping algorithm for neural network training and processor scheduling demonstrates novel computational optimization method.

    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

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryHigh confidenceJudged

    Algorithm development for computational intelligence in scheduling and neural network training systems.

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

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KIIT Deemed to be University. “Multiprocessor scheduling and neural network training methods using shuffled frog-leaping algorithm”. Kortex.

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