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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.
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
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  Data: <searchLink fieldCode="AU" term="%22El-Sattar+HKA%22">El-Sattar HKA</searchLink>; Faculty of Science, Mathematics Department, Computer Science Division, Ain Shams University, Abbassia, 11566, Cairo, Egypt. h_karam@sci.asu.edu.eg.<br /><searchLink fieldCode="AU" term="%22Elshambakey+M%22">Elshambakey M</searchLink>; Knowledge-Based Systems and Robotics Dept, Informatics Research Institute, City of Scientific Research and Technological Applications, New Borg El-Arab, Alexandria, Egypt.<br /><searchLink fieldCode="AU" term="%22Saleh+A%22">Saleh A</searchLink>; Department of Basic Science, Egyptian Academy for Engineering and Advanced Technology, Cairo, Egypt.<br /><searchLink fieldCode="AU" term="%22Antar+S%22">Antar S</searchLink>; Department of Artificial Intelligence, Faculty of Computers and Artificial Intelligence, Hurghada University, Hurghada, Egypt.
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  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 Jun 18; Vol. 16 (1). <i>Date of Electronic Publication: </i>2026 Jun 18.
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        Value: 10.1038/s41598-026-57547-6
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      – TitleFull: Integrating physical modeling with artificial intelligence for predicting fish survival zones in polluted rivers to maintain a sustainable aquaculture industry.
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              Text: 2026 Jun 18
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