QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Imagine tracking your heartbeat without strapping on a smartwatch or touching any gadget, just by sitting within range of ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

How rapidly gene expression in a single cell changes over time can provide insight into how cells might become more specialized. A new method to calculate RNA velocity, developed by researchers at ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

Abstract: This article proposes a robust controller based on fixed-time sliding mode control (FxTSMC) and a neural network to improve the speed tracking control performance of a permanent magnet ...

Heart rate is one of the most basic and important indicators of health, providing a snapshot into a person's physical ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

The Federal Board of Intermediate and Secondary Education (FBISE) announced on Tuesday the results of Intermediate Part I and II examinations, revealing strong performance among female students.

Summary: Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks. Unlike traditional methods that only cluster nodes, this approach groups ...