Photoacoustic tomography offers high-resolution visualization of biological tissues. However, restrictions such as reduced ...

Background Tobacco use imposes significant economic burden, particularly in low and middle-income countries, diverting ...

Instead of navigating the obstacles to conduct polls with human respondents, pollsters are running A.I. simulations instead.

Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...

Stratified sampling is used to select a sample that is representative of different groups. If the groups are of different sizes, the number of items selected from each group will be proportional to ...

Abstract: Radio maps (RMs) are essential for environment-aware communication and sensing, providing location-specific wireless channel information. Existing RM construction methods often rely on ...

Physics-based analytical solvers (Helmholtz equation, TM polarization) Neural surrogate models for fast forward simulations Deep learning pipelines for classification and localization of internal ...

A high-level module for Keras-like training with callbacks, constraints, and regularizers. Comprehensive data augmentation, transforms, sampling, and loading Utility tensor and variable functions so ...