Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Abstract: In contemporary wireless communication systems, frame synchronization and channel encoder identification are critical for reliable signal processing, particularly in scenarios with limited ...
Abstract: This article comprehensively reviews recent developments and research on deep learning-based (DL-based) techniques for integrated sensing and communication (ISAC) systems. ISAC, which ...
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