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

Publication2008

Swelling pressure of soil : Artificial intelligence technique approaches

The record

Type
Publication
Date
1 December 2008
Level
National
Journal
12th International Conference on Computer Methods and Advances in Geomechanics 2008
Volume
3
Pages
1880-1884
Published
1 December 2008
Scopus ID
84869740855
Authors
2
Open access
No
Citations
3
International co-authorship
No
Co-author countries
IN

Classification

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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

    Applies artificial neural networks and support vector machines for swelling pressure prediction of soils achieving generalization to new data through computational intelligence.

    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

    Contributes to digital technology and AI through application of machine learning for geotechnical engineering and soil mechanics predictions.

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

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KIIT Deemed to be University. “Swelling pressure of soil : Artificial intelligence technique approaches”. Kortex.

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