%0 Conference Paper %1 conf/indin/HittaweLBHK22 %A Hittawe, Mohamad Mazen %A Langodan, Sabique %A Beya, Ouadi %A Hoteit, Ibrahim %A Knio, Omar M. %B INDIN %D 2022 %I IEEE %K dblp %P 107-117 %T Efficient SST prediction in the Red Sea using hybrid deep learning-based approach. %U http://dblp.uni-trier.de/db/conf/indin/indin2022.html#HittaweLBHK22 %@ 978-1-7281-7568-3

@inproceedings{conf/indin/HittaweLBHK22, added-at = {2024-02-05T00:00:00.000+0100}, author = {Hittawe, Mohamad Mazen and Langodan, Sabique and Beya, Ouadi and Hoteit, Ibrahim and Knio, Omar M.}, biburl = {https://www.bibsonomy.org/bibtex/233bff95a642fb6d343a001cee0ac367b/dblp}, booktitle = {INDIN}, crossref = {conf/indin/2022}, ee = {https://doi.org/10.1109/INDIN51773.2022.9976090}, interhash = {3cb7d0f956d2bfeccab405b78565a7d2}, intrahash = {33bff95a642fb6d343a001cee0ac367b}, isbn = {978-1-7281-7568-3}, keywords = {dblp}, pages = {107-117}, publisher = {IEEE}, timestamp = {2024-04-10T01:48:06.000+0200}, title = {Efficient SST prediction in the Red Sea using hybrid deep learning-based approach.}, url = {http://dblp.uni-trier.de/db/conf/indin/indin2022.html#HittaweLBHK22}, year = 2022 }