Abstract: Convolutional Neural Networks (CNN) have become a research hotspot in motor imagery brain-computer interfaces, but their limited receptive field may be deficiencies in handling long-distance ...

Abstract: In 3D human pose estimation, human joints typically exhibit continuity and interdependence during motion, suggesting that joint velocities and their positional relationships can offer ...

According to the latest information from the National Intellectual Property Administration, Yunnan Rongchuang Intelligent Technology Co., Ltd. applied for a patent titled "An Artificial ...

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet drought, the most insidious stressor, remains largely silent until its damage ...

This repository contains the implementation of our paper: "DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding", serving as a benchmark codebase for EEG decoding models. We implemented ...

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...

Introduction: Segmentation of echocardiograms plays a crucial role in clinical diagnosis. Beyond accuracy, a major challenge of video echocardiogram analysis is the temporal consistency of consecutive ...

The field of voice separation has made revolutionary progress in addressing the challenging 'cocktail party problem' with the ...

This study illustrates a valuable application of BID-seq to bacterial RNA, allowing transcriptome-wide mapping of pseudouridine modifications across various bacterial species. The evidence presented ...

A research team has developed a deep learning–driven computed tomography (CT) imaging pipeline that enables precise, ...