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Jul 2026

Drift-gated and output-consistent continual learning for eeg seizure prediction

Long-term electroencephalography (EEG) seizure prediction on wearable hardware requires models that are small enough for local inference, responsive to patient-specific distribution shifts, and robust to catastrophic forgetting. We present a code-faithful continual-learning extension of SlimSeiz that targets the latter...

Xinlei Chen, Xiaobin Zhang, Dongming Zhao et al. · 0 citations
Review Open access Jul 2026

Cognitive Detection at Big-Data Scale: A CNN-LSTM-DQN Framework with Prioritized Experience Replay for Cross-Attack-Family Generalization and Multi-Seed Initialization Sensitivity Analysis

Real-world IoT network security generates traffic at big-data scale with extreme class imbalance, temporal non-stationarity, and continuously evolving attack strategies that overwhelm static supervised classifiers. This paper presents a cognitive computing framework for network intrusion detection: a CNN–LSTM–DQN archi...

Xin Su, Zhiquan Bai, K. Ramli et al. · 1 citation

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