Integrating physical modeling with artificial intelligence for predicting fish survival zones in polluted rivers to maintain a sustainable aquaculture industry.
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| Title: | Integrating physical modeling with artificial intelligence for predicting fish survival zones in polluted rivers to maintain a sustainable aquaculture industry. |
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| Authors: | El-Sattar HKA; Faculty of Science, Mathematics Department, Computer Science Division, Ain Shams University, Abbassia, 11566, Cairo, Egypt. h_karam@sci.asu.edu.eg., Elshambakey M; Knowledge-Based Systems and Robotics Dept, Informatics Research Institute, City of Scientific Research and Technological Applications, New Borg El-Arab, Alexandria, Egypt., Saleh A; Department of Basic Science, Egyptian Academy for Engineering and Advanced Technology, Cairo, Egypt., Antar S; Department of Artificial Intelligence, Faculty of Computers and Artificial Intelligence, Hurghada University, Hurghada, Egypt. |
| Source: | Scientific reports [Sci Rep] 2026 Jun 18; Vol. 16 (1). Date of Electronic Publication: 2026 Jun 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-026-57547-6 |
