Researchers realize a driven-dissipative Ising spin glass using a cavity quantum electrodynamics setup

Spin glasses are physical systems in which the small magnetic moments of particles (i.e., spins) interact with each other in ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
IEEE

Prediction of Asthma Using Machine Learning Algorithms

Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
IEEE

BCI based EEG Signals classification using Machine Learning Approach

Abstract: this research investigates the effectiveness of classifiers in non-invasive electroencephalogram (EEG) Classification based brain computer interface (BCI) systems. Such systems are crucial ...