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Transient modeling of a solid oxide fuel cell using an efficient deep learning HY-CNN-NARX paradigm

Research article (Journal of Power Sources, 2024) · cited 21× · AI/ML
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Transient modeling of a solid oxide fuel cell using an efficient deep learning HY-CNN-NARX paradigm

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Transient modeling of a solid oxide fuel cell using an efficient deep learning HY-CNN-NARX paradigm is a scholarly article[1].

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  • Transient modeling of a solid oxide fuel cell using an efficient deep learning HY-CNN-NARX paradigm's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Transient modeling of a solid oxide fuel cell using an efficient deep learning HY-CNN-NARX paradigm. Retrieved May 24, 2026, from https://4ort.xyz/entity/transient-modeling-of-a-solid-oxide-fuel-cell-using-an-efficient-deep-learning-hy-cnn-narx-paradigm
MLA “Transient modeling of a solid oxide fuel cell using an efficient deep learning HY-CNN-NARX paradigm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/transient-modeling-of-a-solid-oxide-fuel-cell-using-an-efficient-deep-learning-hy-cnn-narx-paradigm.
BibTeX @misc{4ortxyz_transient-modeling-of-a-solid-oxide-fuel-cell-using-an-efficient-deep-learning-hy-cnn-narx-paradigm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Transient modeling of a solid oxide fuel cell using an efficient deep learning HY-CNN-NARX paradigm}}, year = {2026}, url = {https://4ort.xyz/entity/transient-modeling-of-a-solid-oxide-fuel-cell-using-an-efficient-deep-learning-hy-cnn-narx-paradigm}, note = {Accessed: 2026-05-24}}
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