Home ›
Entities
› academia
› Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework
Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework
Research article (Journal of Petroleum Science and Engineering, 2021) · cited 34× · AI/ML
Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework
Summary
Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework is a scholarly article[1].
Key Facts
Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/impact-of-data-pre-processing-techniques-on-recurrent-neural-network-performance-in-context-of-real-time-drilling-logs-i
MLA“Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/impact-of-data-pre-processing-techniques-on-recurrent-neural-network-performance-in-context-of-real-time-drilling-logs-i.
BibTeX@misc{4ortxyz_impact-of-data-pre-processing-techniques-on-recurrent-neural-network-performance-in-context-of-real-time-drilling-logs-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework}}, year = {2026}, url = {https://4ort.xyz/entity/impact-of-data-pre-processing-techniques-on-recurrent-neural-network-performance-in-context-of-real-time-drilling-logs-i}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework — https://4ort.xyz/entity/impact-of-data-pre-processing-techniques-on-recurrent-neural-network-performance-in-context-of-real-time-drilling-logs-i (retrieved 2026-05-24)
