After poring over recordings from sperm whales in the Caribbean, UC Berkeley linguist Gasper Begus had an unlikely breakthrough. According to a new study from Begus and his colleagues with Project ...
Recently, electroencephalogram (EEG) based on motor imagery (MI) have gained significant traction in brain-computer interface (BCI) technology, particularly for the rehabilitation of paralyzed ...
Abstract: Automated medical image segmentation plays a crucial role in assisting doctors in diagnosing diseases. Feature decoding is a critical yet challenging issue for medical image segmentation. To ...
Brain-computer interfaces (BCIs) establish a direct communication pathway between the brain and external devices and have been widely applied in upper limb rehabilitation for hemiplegic patients.
Not knowing what your baby wants or needs can be incredibly overwhelming. Here’s how you can learn their language. It’s 2 a.m., and you’ve been pacing up and down the hallway for what feels like hours ...
Abstract: Motor imagery (MI) decoding plays a crucial role in the advancement of electroencephalography (EEG)-based brain-computer interface (BCI) technology. Currently, most researches focus on ...
Fork of the official Pytorch implementation of G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation WACV 2024. This fork has added support for the LiTS dataset, ...
ABSTRACT: The use of turbo codes enhances the data transmission efficiency and optimizes the performance of a communication system over wireless fading channels. In this paper, we present a brief ...
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