Make Your
Ayesha Ashraf, Dierk Herzer, Peter Nunnenkamp
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A hybrid multi-branch CNN-LSTM architecture, termed HyMCL-Net, is proposed, which leverages the complementary strengths of Convolutional Neural Networks (CNNs) for spatial feature extraction and Long Short-Term Memory (LSTM) networks for temporal dependency modeling.
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