Optimized deep learning architecture for predicting maximum temperatures in key Egyptian regions using hybrid genetic algorithm and mountain Gazelle optimizer.
Saved in:
| Title: | Optimized deep learning architecture for predicting maximum temperatures in key Egyptian regions using hybrid genetic algorithm and mountain Gazelle optimizer. |
|---|---|
| Authors: | Houssein, Essam H.1,2, essam.halim@mu.edu.eg, Dirar, Mahmoud1,2, mahmoddirar@mu.edu.eg, Khalil, A. A.3,4, Akhalil@ncm.gov.sa, Ali, Abdelmaged A.1,2, a.ali@mu.edu.eg, Mohamed, Waleed M.1,2, waleedmakram@mu.edu.eg |
| Source: | Artificial Intelligence Review; Sep2025, Vol. 58 Issue 9, p1-55, 55p |
| Database: | Applied Science & Technology Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 02692821 |
|---|---|
| DOI: | 10.1007/s10462-025-11247-1 |