An interpretable Bayesian deep learning-based approach for sustainable clean energy
Crossref DOI link: https://doi.org/10.1007/s00521-024-10008-5
Published Online: 2024-06-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ezzat, Dalia http://orcid.org/0000-0002-6792-5513
Ahmed, Eman
Soliman, Mona
Hassanien, Aboul Ella
Funding for this research was provided by:
Canadian International College
Text and Data Mining valid from 2024-06-06
Version of Record valid from 2024-06-06
Article History
Received: 19 August 2023
Accepted: 9 May 2024
First Online: 6 June 2024
Declarations
:
: There is no conflict of interest.