Researchers say today's AI platforms often default to common biases and stereotypes when prompted to generate images of ...
Abstract: State estimation of electrocardiography (ECG) signals plays a crucial role in effective cardiac monitoring systems and assists in the early detection of abnormalities. However, ECG signals ...
The authors analyzed spectral properties of neural activity recorded using laminar probes while mice engaged in a global/local visual oddball paradigm. They found solid evidence for an increase in ...
An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...
Abstract: This paper will introduce a novel image processing algorithm based on expert knowledge of SEM (Scanning Electron Microscope) image segmentation of integrated circuit (IC) layouts. Our ...