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

Publication2021

Application of Machine Learning in Industry 4.0

The record

Type
Publication
Date
1 January 2021
Level
National
Journal
Studies in Big Data
Volume
87
Pages
57-87
Published
1 January 2021
DOI
10.1007/978-981-33-6518-6_4
Scopus ID
85124257642
ISSN
21976503
Authors
5
Open access
No
Citations
38
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.2 Promote inclusive and sustainable industrialization and raise industry’s share of employment and GDP

    TargetPrimaryHigh confidenceJudged

    Book chapter discusses machine learning for Industry 4.0 digital transformation, smart automation, and manufacturing process efficiency.

    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-2.2 Industry and manufacturing

    Sub-themePrimaryHigh confidenceJudged

    Industry 4.0 encompasses advanced manufacturing with IoT, cloud computing, and intelligent automation systems.

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

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KIIT Deemed to be University. “Application of Machine Learning in Industry 4.0”. Kortex.

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