Random driving on a 78-qubit processor reveals controllable prethermal plateau

Time-dependent driving has become a powerful tool for creating novel nonequilibrium phases such as discrete time crystals and ...
IEEE

3-D Seismic Random Noise Attenuation via Self-Supervised Conditional Diffusion Model

Abstract: Effective noise suppression and data quality enhancement are critical in seismic data processing. Over the years, many traditional and deep learning (DL) methods have been proposed and ...
IEEE

Advanced Brain Tumor Segmentation With a Multiscale CNN and Conditional Random Fields

Abstract: The use of high-precision automatic algorithms for segmenting brain tumors has the potential to improve disease diagnosis, treatment monitoring, and large-scale pathological studies. In this ...