2024
FDNet: A Novel Multivariate Time Series Classification Model Through Fusing Feature and Difference
ICASSP 2024accepted
The classification problem of multivariate time series has been widely used in many fields, but current methods still cannot achieve high accuracy. In this paper, a novel multivariate time series classification model named FDNet (Feature and Difference encoding fused Network) is proposed. A structur…