本文基于MATLAB构建双馈风电并网系统模型，重点实现转子侧定子磁场定向矢量控制与电网侧直流母线电压控制。通过有功/无功 ...

Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified ...

A lightweight CNN combining directional texture information with original CT images improved COVID-19 infection segmentation ...

Perform open vocabulary Class Activation Mapping (CAM), a neural network explainability technique, via CLIP Surgery, a training-free modification to OpenAI's CLIP model.

The volume and variety of enterprise data collected for analytics and AI applications continue to increase. To gain valuable business insights from these complex data assets, organizations are also ...

Classification constitutes a fundamental cognitive challenge for both biological and artificial intelligence systems. Here, we investigated how the brain categorizes stimuli that are not linearly ...

MATLAB (short for Matrix Laboratory) is a powerful software tool used for technical computing and visualization. It is widely used in a variety of fields, including engineering, science, finance, and ...

A key challenge for systems neuroscience is to understand the coexistence of robustness and sensitivity in neural networks. In particular, a neural system must be robust against perturbations to its ...

Abstract: This article develops a recurrent neural network (RNN) with an encoder–decoder structure to predict the driving sequence of SiC MOSFET active gate drivers (AGDs). With a set of switching ...

Rapid progress in technologies such as calcium imaging and electrophysiology has seen a dramatic increase in the size and extent of neural recordings. Even so, interpretation of this data requires ...