%0 Journal Article %1 journals/access/JeongWKLY21 %A Jeong, Seung Hyun %A Woo, Min Woo %A Koo, Gyogwon %A Lee, Jong-Hak %A Yun, Jong Pil %D 2021 %J IEEE Access %K dblp %P 136552-136560 %T Automatic Brittle Fracture Ratio Estimation Using Convolutional Neural Network Regression Based on Classmap Regulation. %U http://dblp.uni-trier.de/db/journals/access/access9.html#JeongWKLY21 %V 9

@article{journals/access/JeongWKLY21, added-at = {2021-11-03T00:00:00.000+0100}, author = {Jeong, Seung Hyun and Woo, Min Woo and Koo, Gyogwon and Lee, Jong-Hak and Yun, Jong Pil}, biburl = {https://www.bibsonomy.org/bibtex/24a8b9e69010149d27df6d0a6f68662e8/dblp}, ee = {https://doi.org/10.1109/ACCESS.2021.3117579}, interhash = {9f98fab0aad55b5cb760a5c7ddde8490}, intrahash = {4a8b9e69010149d27df6d0a6f68662e8}, journal = {IEEE Access}, keywords = {dblp}, pages = {136552-136560}, timestamp = {2024-04-08T14:13:34.000+0200}, title = {Automatic Brittle Fracture Ratio Estimation Using Convolutional Neural Network Regression Based on Classmap Regulation.}, url = {http://dblp.uni-trier.de/db/journals/access/access9.html#JeongWKLY21}, volume = 9, year = 2021 }