%0 Conference Paper %1 conf/embc/LiYCH22 %A Li, Chenguang %A Yang, Hongjun %A Cheng, Long %A Huang, Fubiao %B EMBC %D 2022 %I IEEE %K dblp %P 333-336 %T A Time-Series Augmentation Method Based on Empirical Mode Decomposition and Integrated LSTM Neural Network. %U http://dblp.uni-trier.de/db/conf/embc/embc2022.html#LiYCH22 %@ 978-1-7281-2782-8

@inproceedings{conf/embc/LiYCH22, added-at = {2022-09-22T00:00:00.000+0200}, author = {Li, Chenguang and Yang, Hongjun and Cheng, Long and Huang, Fubiao}, biburl = {https://www.bibsonomy.org/bibtex/299fed7a7b958187bda0342a57e860665/dblp}, booktitle = {EMBC}, crossref = {conf/embc/2022}, ee = {https://doi.org/10.1109/EMBC48229.2022.9871795}, interhash = {2b64c8b82764f028d27d67ccdf0c66ec}, intrahash = {99fed7a7b958187bda0342a57e860665}, isbn = {978-1-7281-2782-8}, keywords = {dblp}, pages = {333-336}, publisher = {IEEE}, timestamp = {2024-04-09T14:37:56.000+0200}, title = {A Time-Series Augmentation Method Based on Empirical Mode Decomposition and Integrated LSTM Neural Network.}, url = {http://dblp.uni-trier.de/db/conf/embc/embc2022.html#LiYCH22}, year = 2022 }