swell-ml-reproducibility
Reproducibility package for domain-informed machine learning model predicting swell potential of expansive soils.
Science Score: 67.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 3 DOI reference(s) in README -
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Links to: zenodo.org -
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○Scientific vocabulary similarity
Low similarity (1.4%) to scientific vocabulary
Last synced: 6 months ago
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Repository
Reproducibility package for domain-informed machine learning model predicting swell potential of expansive soils.
Basic Info
- Host: GitHub
- Owner: hssa83
- License: mit
- Default Branch: main
- Size: 5.86 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 1
Created 9 months ago
· Last pushed 9 months ago
Metadata Files
Readme
License
Citation
Owner
- Login: hssa83
- Kind: user
- Repositories: 1
- Profile: https://github.com/hssa83
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this code or data, please cite it as below."
title: "A Domain-Informed Data Cleaning Framework for Geotechnical Machine Learning"
authors:
- family-names: Alharbi
given-names: Hani S.
affiliation: Shaqra University
orcid: https://orcid.org/0009-0003-6066-6648
date-released: 2025-06-17
version: 1.0-paper
doi: 10.5281/zenodo.15685091
url: https://doi.org/10.5281/zenodo.15685091
license: MIT
GitHub Events
Total
- Release event: 1
- Push event: 1
- Create event: 3
Last Year
- Release event: 1
- Push event: 1
- Create event: 3