Figure 11.

Performance comparison of different models in accuracy using original 51D features when setting $T_x$ to 60 samples and $\Delta t$ to 10 samples. (a) Performance comparison in the training stage. (b) Performance comparison in the validation stage. Here, the attention-based DeepConvGRU and DeepConvLSTM performed better than DNN using statistical 45D features.