Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction
Article
| Article Title | Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction |
|---|---|
| ERA Journal ID | 5039 |
| Article Category | Article |
| Authors | Prasad, Salvin S., Deo, Ravinesh C., Salcedo-sanz, Sancho, Downs, Nathan J., Casillas-Perez, David and Parisi, Alfio V. |
| Journal Title | Computer Methods and Programs in Biomedicine |
| Journal Citation | 241 |
| Article Number | 107737 |
| Number of Pages | 19 |
| Year | 2023 |
| Publisher | Elsevier |
| ISSN | 0169-2607 |
| 1872-7565 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.cmpb.2023.107737 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0169260723004030 |
| Abstract | Background and Objective Methods Results Conclusion |
| Keywords | Bayesian optimization; Ultraviolet index; Explainable artificial intelligence (xAI); Black-box models; Model-agnostic; Deep neural networks |
| Related Output | |
| Is part of | Solar ultraviolet radiation predictions under cloud cover effects with artificial intelligence approaches |
| ANZSRC Field of Research 2020 | 401703. Energy generation, conversion and storage (excl. chemical and electrical) |
| Public Notes | This article is part of a UniSQ Thesis by publication. See Related Output. |
| Byline Affiliations | School of Mathematics, Physics and Computing |
| University of Alcala, Spain | |
| Rey Juan Carlos University, Spain |
https://research.usq.edu.au/item/z2695/enhanced-joint-hybrid-deep-neural-network-explainable-artificial-intelligence-model-for-1-hr-ahead-solar-ultraviolet-index-prediction
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