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 ...
氢能生产优化框架整合风速预测与PEM电解器设计，采用CNN-Bi-LSTM模型提升多变量风速预测精度52.5%和56%，优化膜厚0.0252mm及70 ...
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 ...
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