Improving the performance of closet-set classification in human activity recognition by applying residual neural_network architecture

HIGHLIGHTS

  • who: zaratushtra from the proposed method will be evaluated with an open-source dataset, the , Physical Activity Monitoring Dataset that is made available by the University of California Riverside (UCR) time series classification and clustering repository [3], [4]By evaluating the performance of the proposed TSCResNet model with a commonly used standardized dataset in HAR research, it is possible to assess the effectiveness of this approach versus other methods. have published the research: Improving the Performance of Closet-Set Classification in Human Activity Recognition by Applying Residual Neural_Network Architecture, in the Journal: (JOURNAL)
  • what: Although . . .

     

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