%0 Journal Article %1 journals/eaai/RezaiePBLJTN23 %A Rezaie, Fatemeh %A Panahi, Mahdi %A Bateni, Sayed M. %A Lee, Saro %A Jun, Changhyun %A Trauernicht, Clay %A Neale, Christopher M. U. %D 2023 %J Eng. Appl. Artif. Intell. %K dblp %P 106699 %T Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i. %U http://dblp.uni-trier.de/db/journals/eaai/eaai125.html#RezaiePBLJTN23 %V 125

@article{journals/eaai/RezaiePBLJTN23, added-at = {2023-10-27T00:00:00.000+0200}, author = {Rezaie, Fatemeh and Panahi, Mahdi and Bateni, Sayed M. and Lee, Saro and Jun, Changhyun and Trauernicht, Clay and Neale, Christopher M. U.}, biburl = {https://www.bibsonomy.org/bibtex/2350b36ac7deffb371ae56b04c6a2dcd5/dblp}, ee = {https://doi.org/10.1016/j.engappai.2023.106699}, interhash = {947d0391590cecfc3fb2c6d76450b3db}, intrahash = {350b36ac7deffb371ae56b04c6a2dcd5}, journal = {Eng. Appl. Artif. Intell.}, keywords = {dblp}, pages = 106699, timestamp = {2024-04-09T02:56:38.000+0200}, title = {Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i.}, url = {http://dblp.uni-trier.de/db/journals/eaai/eaai125.html#RezaiePBLJTN23}, volume = 125, year = 2023 }