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

Publication2022

An Adaptive Neural-Fuzzy Inference System for Prediction of Muscle Strength of Farmers in India: An Approach for E-Healthcare 4.0 Prevention and Analysis

The record

Type
Publication
Date
1 January 2022
Level
National
Journal
International Journal of Service Science Management Engineering and Technology
Volume
13
Issue
1
Published
1 January 2022
DOI
10.4018/ijssmet.297497
Scopus ID
85151901047
ISSN
1947959X
Authors
3
Open access
Yes
Citations
3
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 8 Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

    GoalPrimaryHigh confidenceJudged

    Adaptive neural-fuzzy inference system predicts farmer muscle strength from 13 anthropometric hand dimensions with correlation coefficients above 0.977 for ergonomic tool design.

    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-2.1 Agriculture and the rural economy

    Sub-themePrimaryHigh confidenceJudged

    Agricultural worker ergonomic assessment demonstrates occupational health and rural economy improvement.

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

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KIIT Deemed to be University. “An Adaptive Neural-Fuzzy Inference System for Prediction of Muscle Strength of Farmers in India: An Approach for E-Healthcare 4.0 Prevention and Analysis”. Kortex.

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