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    <identifier>10.57760/sciencedb.05566</identifier>
    <datestamp>2022-10-28T15:38:13Z</datestamp>
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  <dc:date>2022-10-28</dc:date>
  <dc:title>Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.05566</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>&amp;nbsp;The dataset file includes the experimental performance of different models when setting the window size to 60 and time step to 6. There are ten models in total. The experimental results include testing accuracy, precision, F1 sorce, AUC, and recall.</dc:description>
  <dc:subject>driving behavior identification ;  Convolutional neural network (CNN); long short-term memory (LSTM)</dc:subject>
  <dc:creator>Jun Zhang</dc:creator>
  <dc:creator>ZhongCheng Wu</dc:creator>
  <dc:creator>Fang Li</dc:creator>
  <dc:creator>Chengjun Xie</dc:creator>
  <dc:creator>Tingting Ren</dc:creator>
  <dc:creator>Jie Chen</dc:creator>
  <dc:creator>Liu Liu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.3390/s19061356</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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