Hybrid Recurrent Neural Network for Signal-Dependent Noise Suppression in Molecular Communication

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Hybrid Recurrent Neural Network for Signal-Dependent Noise Suppression in Molecular Communication

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Signal Detection for Molecular Communication: Model-Based vs. Data-Driven Methods
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Taming Signal-Dependent Counting Noise with Machine Learning for Molecular Communication
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Neural Network Detection of Data Sequences in Communication Systems
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An Informer-Based Signal Sequence Detector for Mobile Molecular Communication
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Rotated Color Shift Keying for Visible Light Communications With Signal-Dependent Noise
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Lightweight Channel Codes for ISI Mitigation in Molecular Communication Between Bionanosensors
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Improving the Modulation Designs for Visible Light Communications with Signal-Dependent Noise
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Noise Analysis and Modulation Optimization for Nonlinear Visible Light Communication System With Signal-Dependent Noise
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