Abstract: Decoding inner speech from the brain via the hybridisation of fMRI and EEG data is explored to investigate the performance benefits over unimodal models. Two different fusion approaches are ...
Abstract: To realize a fault-tolerant quantum computer, a quantum error decoder that can handle a large number of qubits with high speed is required. This paper ...
Abstract: Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design ...
OpenAI CEO Sam Altman warns that convenience is leading us to give AI agents too much control without the necessary security infrastructure in place. He admits he broke his own resolution not to give ...
Abstract: Code search is essential for code reuse, allowing developers to efficiently locate relevant code snippets. The advent of powerful decoder-only Large Language Models (LLMs) has revolutionized ...
Abstract: Although advances in deep learning technologies have greatly facilitated the brain intention decoding from electroencephalogram (EEG) in motor imagery brain–computer interfaces (MI-BCIs), ...
Abstract: Polar codes in 5G new radio (5G NR) have been extensively investigated as a crucial channel coding technique in the field of channel coding and decoding. In this paper, we leverage the ...
Abstract: Acupuncture stimulations in somatosensory system can modulate spatiotemporal brain activity and improve cognitive functions of patients with neurological disorders. The correlation between ...
Abstract: Random projection code (RPC) is a promising technique to implement the rate adaption in modern wireless communication system. This paper introduces RPC to decode-and-forward relay channel ...
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