Home ›
Entities
› academia
› Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability
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
Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability
Summary
Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability is a scholarly article[1].
Key Facts
Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability'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). 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}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability — https://4ort.xyz/entity/sequential-gated-recurrent-and-self-attention-explainable-deep-learning-model-for-predicting-hydrogen-production-implica (retrieved 2026-05-24)