Home ›
Entities
› academia
› <i>EXTES</i>: An <i>Ex</i>ecution-<i>T</i>ime <i>E</i>stimation <i>S</i>cheme for Efficient Computational Science and Engineering Simulation via Machine Learning
<i>EXTES</i>: An <i>Ex</i>ecution-<i>T</i>ime <i>E</i>stimation <i>S</i>cheme for Efficient Computational Science and Engineering Simulation via Machine Learning
Research article (IEEE Access, 2019) · cited 10× · AI/ML
EXTES: An Execution-Time Estimation Scheme for Efficient Computational Science and Engineering Simulation via Machine Learning
Summary
EXTES: An Execution-Time Estimation Scheme for Efficient Computational Science and Engineering Simulation via Machine Learning is a scholarly article[1].
Key Facts
EXTES: An Execution-Time Estimation Scheme for Efficient Computational Science and Engineering Simulation via Machine Learning'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). <i>EXTES</i>: An <i>Ex</i>ecution-<i>T</i>ime <i>E</i>stimation <i>S</i>cheme for Efficient Computational Science and Engineering Simulation via Machine Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/i-extes-i-an-i-ex-i-ecution-i-t-i-ime-i-e-i-stimation-i-s-i-cheme-for-efficient-computational-science-and-engineering-si
MLA“<i>EXTES</i>: An <i>Ex</i>ecution-<i>T</i>ime <i>E</i>stimation <i>S</i>cheme for Efficient Computational Science and Engineering Simulation via Machine Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/i-extes-i-an-i-ex-i-ecution-i-t-i-ime-i-e-i-stimation-i-s-i-cheme-for-efficient-computational-science-and-engineering-si.
BibTeX@misc{4ortxyz_i-extes-i-an-i-ex-i-ecution-i-t-i-ime-i-e-i-stimation-i-s-i-cheme-for-efficient-computational-science-and-engineering-si_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{<i>EXTES</i>: An <i>Ex</i>ecution-<i>T</i>ime <i>E</i>stimation <i>S</i>cheme for Efficient Computational Science and Engineering Simulation via Machine Learning}}, year = {2026}, url = {https://4ort.xyz/entity/i-extes-i-an-i-ex-i-ecution-i-t-i-ime-i-e-i-stimation-i-s-i-cheme-for-efficient-computational-science-and-engineering-si}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): <i>EXTES</i>: An <i>Ex</i>ecution-<i>T</i>ime <i>E</i>stimation <i>S</i>cheme for Efficient Computational Science and Engineering Simulation via Machine Learning — https://4ort.xyz/entity/i-extes-i-an-i-ex-i-ecution-i-t-i-ime-i-e-i-stimation-i-s-i-cheme-for-efficient-computational-science-and-engineering-si (retrieved 2026-05-24)
