The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
The power that makes electric vehicles travel farther and smartphones last longer comes from battery materials. Among them, ...
Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.
Abstract: The large-scale injection of new energy systems into active distribution networks (ADNs) has caused voltage violations, challenging the stable operation of power grids. Recently, deep ...
However, NGD faces several challenges associated with gamma-ray generation and attenuation complexities. Unlike GGD, which utilizes 0.662 MeV monoenergetic γ rays from a 137 Cs source, NGD employs ...
A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...
ABSTRACT: Background: The present study showed a mathematical analysis of the spread of infectious diseases using the classical SEIR (Susceptible-Exposed-Infected-Recovered) model. The model is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results