DCT-Based Channel Attention for Multivariate Time Series Classification

DCT-Based Channel Attention for Multivariate Time Series Classification

<p dir="ltr">This article introduces a novel DCT-based channel attention (DCA) mechanism for time series classification (TSC) using convolutional neural networks (CNNs). Traditional squeeze-and-excitation (SE) mechanisms rely on global average pooling to model channel-wise interdepen...

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Bibliographic Details
Main Author: Amine Haboub (22392097) (author)
Other Authors: Hamza Baali (14603380) (author), Abdesselam Bouzerdoum (17900021) (author)
Published: 2025
Subjects:
Information and computing sciences
Artificial intelligence
Machine learning
Channel attention
convolutional neural networks
deep learning
discrete cosine transform
time series classification
Computational modeling
Feature extraction
Vectors
Training
Standards
Adaptation models
Accuracy
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