%0 Journal Article %1 journals/jcde/HwangHS23 %A Hwang, Joon-Tae %A Hong, Suk-Yoon %A Song, Jee-Hun %D 2023 %J J. Comput. Des. Eng. %K dblp %N 2 %P 794-808 %T Automated topology design to improve the susceptibility of naval ships using geometric deep learning. %U http://dblp.uni-trier.de/db/journals/jcde/jcde10.html#HwangHS23 %V 10

@article{journals/jcde/HwangHS23, added-at = {2023-04-29T00:00:00.000+0200}, author = {Hwang, Joon-Tae and Hong, Suk-Yoon and Song, Jee-Hun}, biburl = {https://www.bibsonomy.org/bibtex/2888baf0cc6d2d5f892f960ef9e920509/dblp}, ee = {https://doi.org/10.1093/jcde/qwad023}, interhash = {37b178a04b6f5b7d4a6fc6d541a2097f}, intrahash = {888baf0cc6d2d5f892f960ef9e920509}, journal = {J. Comput. Des. Eng.}, keywords = {dblp}, month = {March}, number = 2, pages = {794-808}, timestamp = {2024-04-08T19:33:22.000+0200}, title = {Automated topology design to improve the susceptibility of naval ships using geometric deep learning.}, url = {http://dblp.uni-trier.de/db/journals/jcde/jcde10.html#HwangHS23}, volume = 10, year = 2023 }