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Updated: Jul 29, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
03:31

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments

Published on: December 15, 2023

一个具有两级分辨率的神经网络,可用于高速公路交通预测的增强解释性

Semin Kwak1,2, Danya Li3,4, Nikolas Geroliminis5

  • 1Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, USA. seminkwak@gmail.com.

Scientific reports
|December 31, 2024
PubMed
概括

本研究介绍了双层分辨率神经网络 (TwoResNet),用于改进高速公路交通预测. 通过捕捉区域和地方空间相关性,TwoResNet提高了长期预测的准确性和可解释性.

关键词:
自由路传感器网络的自由路传感器网络.几何深度学习的几何深度学习多变量时间序列预测.交通预测,交通预测.两个级别的分辨率神经网络的神经网络.

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