The explosive growth of data generated by artificial intelligence, cloud computing and modern digital infrastructure is ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Accurate segmentation of the medical image is the basis and premise of intelligent diagnosis and treatment, which has a wide range of clinical application value. However, the robustness and ...

Background Long COVID is associated with multiple symptoms and impairment in multiple organs. Cross-sectional studies have reported cardiac impairment to varying degrees by varying methodologies.

The inability of glasses to find their lowest-energy configurations is often attributed to their potential energy landscapes: rugged, barrier-filled surfaces in high-dimensional space that seem ...

Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, 15213, United States Department of Chemistry ...

AI Source separator written in C running a U-Net model trained by Deezer, separate your audio input to Drum, Bass, Accompaniment and Vocal/Speech with Spleeter model. The network accepts 2 channels ...

Limited translational genomic research data have been reported on the application of exome sequencing and parallel gene testing for preconception carrier screening (PCS). Here, we present ...

Automatic brain structural parcellation through registration-based segmentation-propagation and multi-atlas-based label-fusion This bash scripts is created for Multi-atlas based automatic brain ...

Photostrictive compounds are promising device materials because of their fundamental photophysical properties and light-induced strain applications. Although molecular charge-transfer crystals ...