Machine learning-based outlier detection for pipeline in-line inspection data Article Swipe
Muhammad Nihal Hussain
,
Tieling Zhang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.ress.2024.110553
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.ress.2024.110553
Related Topics
Concepts
Metadata
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ress.2024.110553
- OA Status
- hybrid
- Cited By
- 17
- References
- 93
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403348336Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ress.2024.110553Digital Object Identifier
- Title
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Machine learning-based outlier detection for pipeline in-line inspection dataWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-12Full publication date if available
- Authors
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Muhammad Nihal Hussain, Tieling ZhangList of authors in order
- Landing page
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https://doi.org/10.1016/j.ress.2024.110553Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.ress.2024.110553Direct OA link when available
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Anomaly detection, Pipeline (software), Outlier, Computer science, Artificial intelligence, Line (geometry), Data mining, Machine learning, Pattern recognition (psychology), Engineering, Reliability engineering, Mathematics, Programming language, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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17Total citation count in OpenAlex
- Citations by year (recent)
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2025: 17Per-year citation counts (last 5 years)
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93Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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