Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

Researchers in the Department of Physics & Astronomy at Texas Tech University recently used audio to represent the spectacular explosion of a star in deep space while also delving into the data to ...

Accurate and interpretable bearing fault diagnosis remains challenging because fault-related spectral signatures are often weak, distributed across multiple frequency bands, and easily affected by ...

Mapping peripheral to central pressure waveforms offers a promising approach for noninvasive assessment of the aortic pressure waveform. Traditional methods rely on population-based averaging, which ...

Hyperspectral imaging empowers machine vision systems with the distinct capability of identifying materials through recording their spectral signatures. Recent efforts in data-driven spectral ...

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Label-free living cell separation represents a significant ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The present study attempts to address these limitations by ...