针对多通道脑电(EEG)信号冗余信息导致的情绪分类难题,研究人员提出融合1DCNN空间特征提取与Bi-LSTM时序建模的混合模型 ...
提出TCN-BiLSTM融合模型预测质子交换膜燃料电池性能退化,采用MI和SG滤波器预处理3000小时动态数据,通过SSA优化超参数,动态 ...
A new study has developed a two-level satellite timing system using a sparse sampling Long Short-Term Memory (LSTM) algorithm. This innovative approach significantly boosts the autonomous time-keeping ...