Hybrid Data-Driven Machine Learning Framework for Determining Prestressed Concrete Losses

Research article (Arabian Journal for Science and Engineering, 2023) · cited 20× · AI/ML
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Hybrid Data-Driven Machine Learning Framework for Determining Prestressed Concrete Losses

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Hybrid Data-Driven Machine Learning Framework for Determining Prestressed Concrete Losses is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid Data-Driven Machine Learning Framework for Determining Prestressed Concrete Losses. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-data-driven-machine-learning-framework-for-determining-prestressed-concrete-losses
MLA “Hybrid Data-Driven Machine Learning Framework for Determining Prestressed Concrete Losses.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-data-driven-machine-learning-framework-for-determining-prestressed-concrete-losses.
BibTeX @misc{4ortxyz_hybrid-data-driven-machine-learning-framework-for-determining-prestressed-concrete-losses_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid Data-Driven Machine Learning Framework for Determining Prestressed Concrete Losses}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-data-driven-machine-learning-framework-for-determining-prestressed-concrete-losses}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid Data-Driven Machine Learning Framework for Determining Prestressed Concrete Losses — https://4ort.xyz/entity/hybrid-data-driven-machine-learning-framework-for-determining-prestressed-concrete-losses (retrieved 2026-05-24)

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