Home ›
Entities
› academia
› An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements
An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements
Research article (International journal of greenhouse gas control, 2024) · cited 24× · AI/ML
An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements
Summary
An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements is a scholarly article[1].
Key Facts
An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements'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). An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-deep-learning-based-workflow-for-co2-plume-imaging-considering-model-uncertainties-with-distributed-pressur
MLA“An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-deep-learning-based-workflow-for-co2-plume-imaging-considering-model-uncertainties-with-distributed-pressur.
BibTeX@misc{4ortxyz_an-efficient-deep-learning-based-workflow-for-co2-plume-imaging-considering-model-uncertainties-with-distributed-pressur_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-deep-learning-based-workflow-for-co2-plume-imaging-considering-model-uncertainties-with-distributed-pressur}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements — https://4ort.xyz/entity/an-efficient-deep-learning-based-workflow-for-co2-plume-imaging-considering-model-uncertainties-with-distributed-pressur (retrieved 2026-05-24)