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Sep 2026

Efficient EEG-based schizophrenia classification via a lightweight hybrid CNN-BiLSTM model.

A novel hybrid deep learning framework that integrates one-dimensional Convolutional Neural Networks (1D-CNNs) and Bidirectional Long Short-Term Memory (Bi-LSTM) networks to simultaneously learn discriminative spatial features and complex temporal dependencies inherent in EEG signals is proposed.

Anjali Sagar Jangde, G. Verma · 0 citations

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