Atrial fibrillation (AF) is managed with various strategies, including rate and rhythm control, to improve patients' health status. Although its incidence increases with age, how age affects health ...
Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...
1 Centre for Global Change, Sol Plaatje University, Kimberley, South Africa 2 Department of Computer Science and Information Technology, Faculty of Natural and Applied Sciences, Sol Plaatje University ...
Annual point counts are commonly used to monitor birds to track population densities across space and time. Palila (Loxioides bailleui) are surveyed annually in the first quarter, but we recently ...
#GAMM #Stepped-wedge design #Robust sandwich standard errors This code takes longitudinal data in which an intervention is introduced at some point (could be stepped-wedge design) and depicts outcomes ...
Abstract: Spectrum sensing in cognitive radio presents a challenge in overcoming the spectrum scarcity caused by the rapid growth of wireless devices. Deep learning (DL) and machine learning (ML) are ...
ABSTRACT: Soil pH is a critical indicator of soil health and fertility, influencing nutrient availability and crop productivity. Leveraging real-time sensor technology allows for high-resolution data ...
Nvidia is releasing what it’s calling an AI foundation model for humanoid robotics. Announced at GTC 2025 in San Jose, the model, dubbed Groot N1, is a “generalist” model, trained on both synthetic ...
Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...
ABSTRACT: The UK’s economic growth has witnessed instability over these years. While some sectors recorded positive performances, some recorded negative performances, and these unstable economic ...
Abstract: Generalized additive models (GAMs) have been successfully applied to high dimensional data. However, most existing methods cannot capture the high level feature patterns from complex data.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback