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A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimization

Research article (IEEE Internet of Things Journal, 2023) · cited 16× · AI/ML
CreativeWork academia

Facts

5 properties
Instance of
scholarly article[2]
Publication date
May 26, 2023as of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
Published in
IEEE Internet of Things Journalas of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
Sponsor
National Science Foundationas of 2026-09-23
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OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
Title
A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimizationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
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4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W4378364830as of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
DOI
10.1109/JIOT.2023.3280162as of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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not in the catalog
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4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 3
Huang Hai-jun, Liqiang Wang, Zidi Zhao
← Author of 3
Huang Hai-jun, Liqiang Wang, Zidi Zhao
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Summary

A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimization is a scholarly article[1].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimization. Retrieved October 20, 2026, from https://4ort.xyz/entity/a-multimodel-edge-computing-offloading-framework-for-deep-learning-application-based-on-bayesian-optimization
MLA “A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/a-multimodel-edge-computing-offloading-framework-for-deep-learning-application-based-on-bayesian-optimization.
BibTeX @misc{4ortxyz_a-multimodel-edge-computing-offloading-framework-for-deep-learning-application-based-on-bayesian-optimization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimization}}, year = {2026}, url = {https://4ort.xyz/entity/a-multimodel-edge-computing-offloading-framework-for-deep-learning-application-based-on-bayesian-optimization}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Multimodel Edge Computing Offloading Framework for Deep-Learning Application Based on Bayesian Optimization — https://4ort.xyz/entity/a-multimodel-edge-computing-offloading-framework-for-deep-learning-application-based-on-bayesian-optimization (retrieved 2026-10-20)

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