%0 Journal Article %1 journals/access/SunZZZSY20 %A Sun, Yongyi %A Zhang, Hongquan %A Zhao, Tingting %A Zou, Zhihui %A Shen, Bin %A Yang, Lixin %D 2020 %J IEEE Access %K dblp %P 85421-85430 %T A New Convolutional Neural Network With Random Forest Method for Hydrogen Sensor Fault Diagnosis. %U http://dblp.uni-trier.de/db/journals/access/access8.html#SunZZZSY20 %V 8

@article{journals/access/SunZZZSY20, added-at = {2020-06-16T00:00:00.000+0200}, author = {Sun, Yongyi and Zhang, Hongquan and Zhao, Tingting and Zou, Zhihui and Shen, Bin and Yang, Lixin}, biburl = {https://www.bibsonomy.org/bibtex/288af0e0ef7c791f12e90ac5965a04e85/dblp}, ee = {https://doi.org/10.1109/ACCESS.2020.2992231}, interhash = {2a79f051e78786f9e1c9920e064d36b2}, intrahash = {88af0e0ef7c791f12e90ac5965a04e85}, journal = {IEEE Access}, keywords = {dblp}, pages = {85421-85430}, timestamp = {2020-06-17T11:41:43.000+0200}, title = {A New Convolutional Neural Network With Random Forest Method for Hydrogen Sensor Fault Diagnosis.}, url = {http://dblp.uni-trier.de/db/journals/access/access8.html#SunZZZSY20}, volume = 8, year = 2020 }