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Artificial intelligence accurately charts sleep stages without intrusive brain sensors
Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three ...
Abstract: The vortex electromagnetic waves (VEMWs) imaging technique has exhibited excellent performance in target imaging. However, most existing three-dimensional (3D) VEMWs imaging methods still ...
Another week of the 2025 West Virginia high school football season has concluded, and High School On SI has all of the latest computer rankings for each classification as of November 3, 2025. High ...
The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...
Abstract: This letter proposes a Quantum-MUSIC, the first multiple signal classification (MUSIC) algorithm for quantum wireless sensing of multi-user. Since the atomic receiver for quantum wireless ...
In ocean acoustic fields, extracting the normal-mode interference spectrum (NMIS) from the received sound intensity spectrum (SIS) plays an important role in waveguide-invariant estimation and ...
This is a repository for codes and template data of paper "Experiments with mmWave Automotive Radar Test-bed" Please cite our paper with below bibtex if you find this repository useful. @INPROCEEDINGS ...
The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. In 2007, some of the leading ...
Single-molecule localization techniques are restricted by long acquisition and computational times, or the need of special fluorophores or biologically toxic photochemical environments. Here we ...
Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous clinical syndrome in need of improved phenotypic classification. We sought to evaluate whether unbiased clustering analysis ...
The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness depends on the ...
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