Neural networks have emerged as a pivotal technology in enhancing the precision and reliability of depth of anaesthesia (DoA) monitoring. By integrating advanced signal processing techniques with ...

The field of artificial neural networks has seen rapid growth over the past 10-15 years. Typical applications are image processing, sound and other areas with high dimensional data. In machine ...

Recently, Tianjin Yingjie Technology Development Co., Ltd. announced the application for a patent titled "An Optimization Method for Multi-Robot Collaborative Task Scheduling Based on Graph Neural ...

In simple terms, artificial intelligence large models are ultra-large-scale artificial neural networks trained using massive ...

In most of these applications, neural networks outperformed traditional statistical models, such as discriminant and regression analysis. Furthermore, these applications have shown significant success ...

While the emphasis of our work has been on the development and implementation of online neural network estimators, we shall also include results with and without the baseline network. Several examples ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification ...