This is a Tensorflow implementation of Disjoint-CNN for Multivariate Time Series Classification. Additionally, a PyTorch implementation of the 1+1D block is also included. Existing models consider a ...

Determining time-dependent variables and predicting possible crime intensities with the ARIMA time series model. Predicting the type of crimes that may occur with traditional machine learning models ...

By comparing the 1D convolution-based models with the Dynamic Time Warping (DTW) distance function, it appears that the underwhelming results stem from the limited expressive power of the 1D ...

In most of existing work, 1D convolution operation is applied to individual univariate time series, while multi-sensors or multi-modality yield multivariate time series. 2D convolution and pooling ...

The 3 × 3 convolution is not as powerful as the 1D-MS module in terms of accuracy and parameters. The above experimental results prove that the encoding effect of our designed 1D-MS exceeds that of ...