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Rahim Barzegar on Muck Rack

Rahim Barzegar

As seen in: Taylor & Francis Online, The Conversation
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Articles

Comment l’IA peut prévoir – et expliquer – le niveau d’eau des Grands Lacs ?

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By Rahim Barzegar, Jan Adamowski, Ehsan Raei
| The Conversation Verified
En janvier 2013, le lac Michigan atteignait le niveau d’eau le plus bas jamais enregistré. Sept ans plus tard, à l’été 2020, il battait des records inverses : inondations répandues, berges arrachées, routes riveraines fermées. Entre ces deux extrêmes, près de deux mètres. Les lacs Supérieur, Érié et Ontario ont connu le même retournement à quelques mois près. Presque personne ne l’avait vu venir.
Open in Who Shared Issue with article?

Enhancing long-term water quality forecasting with a hybrid deep-learning approach integrating MODWT, CNN, and GRU

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By Soheil Khosravi, Mohammad Reza Nikoo, Mohammad Zamani, Rahim Barzegar
| Taylor & Francis Online
Abstract Effective water quality forecasting is crucial for managing pollution and mitigating its environmental impacts. Machine learning (ML) and deep learning (DL) models often fail in long-term WQ forecasting accuracy due to complex data patterns and inadequate feature extraction.
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