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Time-Series Data Augmentation Techniques for Improving Automated Drilling Dysfunction Classifiers

Research article (SPE/IADC International Drilling Conference and Exhibition, 2021) · cited 12× · AI/ML
academia openalex:W3134730093
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Time-Series Data Augmentation Techniques for Improving Automated Drilling Dysfunction Classifiers

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Time-Series Data Augmentation Techniques for Improving Automated Drilling Dysfunction Classifiers is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Time-Series Data Augmentation Techniques for Improving Automated Drilling Dysfunction Classifiers. Retrieved May 24, 2026, from https://4ort.xyz/entity/time-series-data-augmentation-techniques-for-improving-automated-drilling-dysfunction-classifiers
MLA “Time-Series Data Augmentation Techniques for Improving Automated Drilling Dysfunction Classifiers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/time-series-data-augmentation-techniques-for-improving-automated-drilling-dysfunction-classifiers.
BibTeX @misc{4ortxyz_time-series-data-augmentation-techniques-for-improving-automated-drilling-dysfunction-classifiers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Time-Series Data Augmentation Techniques for Improving Automated Drilling Dysfunction Classifiers}}, year = {2026}, url = {https://4ort.xyz/entity/time-series-data-augmentation-techniques-for-improving-automated-drilling-dysfunction-classifiers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Time-Series Data Augmentation Techniques for Improving Automated Drilling Dysfunction Classifiers — https://4ort.xyz/entity/time-series-data-augmentation-techniques-for-improving-automated-drilling-dysfunction-classifiers (retrieved 2026-05-24)

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