Abstract: This article proposes a data-driven method based on signal convolution pooling for real-time fault diagnosis in T-type inverters. The model is composed of an auxiliary neural network and a ...
This project is a prototype for a new collaborative code editor designed for the Processing Foundation (2024 pr05). It aims to enhance the coding experience for Processing users by providing a ...
Abstract: In modern electromagnetic countermeasure environments, traditional radar signal sorting (RSS) methods face challenges from incompletely intercepted parameter-dense pulses of multi-function ...
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