Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability

Research article (Applied Energy, 2024) · cited 11× · AI/ML
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Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability

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Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability. Retrieved May 24, 2026, from https://4ort.xyz/entity/sequential-gated-recurrent-and-self-attention-explainable-deep-learning-model-for-predicting-hydrogen-production-implica
MLA “Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sequential-gated-recurrent-and-self-attention-explainable-deep-learning-model-for-predicting-hydrogen-production-implica.
BibTeX @misc{4ortxyz_sequential-gated-recurrent-and-self-attention-explainable-deep-learning-model-for-predicting-hydrogen-production-implica_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability}}, year = {2026}, url = {https://4ort.xyz/entity/sequential-gated-recurrent-and-self-attention-explainable-deep-learning-model-for-predicting-hydrogen-production-implica}, note = {Accessed: 2026-05-24}}
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