Supercomputing-efficient facial emotion recognition: reducing parameter complexity with pixel shuffle and anti-aliasing in depthwise separable models
Crossref DOI link: https://doi.org/10.1007/s11227-025-07873-9
Published Online: 2025-09-21
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Elsheikh, Reham A.
Mohamed, M. A.
Abou-Taleb, Ahmed Mohamed
Ata, Mohamed Maher
Text and Data Mining valid from 2025-09-21
Version of Record valid from 2025-09-21
Article History
Received: 13 October 2024
Accepted: 13 September 2025
First Online: 21 September 2025
Declarations
:
: The authors declare no competing interests.