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Updated: Jan 10, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

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FedSER-XAI:PSO优化的多流交叉注意力变压器,具有可解释的联合语音情感识别图形特征

Eman Abdulrahman Alkhamali1,2, Arwa Abdulaziz Allinjawi3, Rehab Bahaaddin Ashari4

  • 1Department of Computer Science, King AbdulAziz University, Jeddah, 21589, Saudi Arabia. eeedalenizi@stu.kau.edu.sa.

Scientific reports
|November 25, 2025
PubMed
概括

这项研究介绍了FedSER-XAI,这是一个可解释的联合学习框架,用于语音情感识别. 它通过集成先进的特征选择和基于图形的方法来实现高准确性和隐私保护.

关键词:
交叉注意机制 交叉注意机制可解释的人工智能联合学习是联合学习.图形神经网络是一个神经网络.粒子群集优化优化 粒子群集优化保护隐私 保护隐私 保护隐私语音 情感识别 语音 情感识别

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